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This Is A Custom Widget

This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.

Publications

/Publications
Publications 2017-09-06T11:49:04+00:00

Journal Articles

2017, submitted
[126]Computational Analysis of structural properties of Economic Networks (F. Emmert-Streib, A. Musa, S. Tripathi, O. Yli-Harja, K. Baltakys, J. Kanniainen, M. Dehmer), In , volume , 2017, submitted. [bibtex]
[125]Understanding the world economy in terms of networks: A survey of data-based network science approaches on economic networks (F. Emmert-Streib, S. Das, S. Tripathi, O. Yli-Harja, Y. Shi, M. Dehmer), In , volume , 2017, submitted. [bibtex]
[124]Multilayer Aggregation of Investor Trading Networks (K. Baltakys, J. Kanniainen, F. Emmert-Streib), In , volume , 2017, submitted. [bibtex]
[123]Can genome-scale gene regulatory networks be experimentally validated? Differences between biological and clinical validations (F. Emmert-Streib, B. Haibe-Kains, S. Moutari, J. McCann, P. Mullan, G. Glazko, M. Dehmer, C. Campbell), In , volume , 2017, submitted. [bibtex]
[122]Smoking and increased age in hematuria patients significantly confound the accuracy of classifiers for the diagnosis of urothelial cancer (R. de Matos Simoes, F. Emmert-Streib, B. Duggan, M.W. Ruddock, D. O'Rourke, H.F. O'Kane, C.H. Reid, K.E. Williamson), In , volume , 2017, submitted. [bibtex]
2017, in press
[121]Quantitative Graph Theory: A new branch of graph theory and network science (M. Dehmer, F. Emmert-Streib, Y. Shi), In Information Sciences, Elsevier, volume , 2017, in press. [bibtex]
2017
[120]sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters (S. Tripathi, J. Lloyd-Price, A. Ribeiro, O. Yli-Harja, M. Dehmer, F. Emmert-Streib), In BMC bioinformatics, BioMed Central, volume 18, 2017. [bibtex]
[119]A Review of Connectivity Mapping and Computational Approaches in Pharmacogenomics (A. Musa, L. Ghoraie, S-D. Zhang, G. Glazko, O. Yli-Harja, M. Dehmer, B. Haibe-Kains, F. Emmert-Streib), In Briefings in Bioinformatics, volume , 2017. [bibtex]
[118] Toward Measuring Network Aesthetics Based on Symmetry (Z. Chen, M. Dehmer, F. Emmert-Streib, A. Mowshowitz, Y. Shi), In Axioms, volume 6, 2017. [bibtex] [pdf] [doi]
[117] GSAR: Bioconductor package for Gene Set analysis in R (Y. Rahmatallah, B. Zybailov, F. Emmert-Streib, G. Glazko), In BMC Bioinformatics, volume 18, 2017. [bibtex] [pdf] [doi]
[116] Highly unique network descriptors based on the roots of the permanental polynomial (M. Dehmer, F. Emmert-Streib, B. Hu, Y. Shi, M. Stefu, S. Tripathi), In Information Sciences, volume 408, 2017. () [bibtex] [pdf] [doi]
2016
[115] Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites (F. Emmert-Streib, M. Dehmer, O. Yli-Harja), In Frontiers in Genetics, volume 7, 2016. [bibtex] [pdf] [doi]
[114] Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules (S. Tripathi, S. Moutari, M. Dehmer, F. Emmert-Streib), In BMC Bioinformatics, volume 17, 2016. [bibtex] [pdf] [doi]
[113] The Need for Formally Defining 'Modern Medicine' by Means of Experimental Design (F. Emmert-Streib, L. Tuomisto, O. Yli-Harja), In Frontiers in Genetics, volume 7, 2016. [bibtex] [pdf] [doi]
[112]samExploreR: Exploring reproducibility and robustness of RNA-seq results based on SAM files (A. Stupnikov, S. Tripathi, R. de Matos Simoes, D. McArt, M. Salto-Tellez, G. Glazko, F. Emmert-Streib), In Bioinformatics, volume , 2016. [bibtex]
[111]Fifty Years of Graph Matching, Network Alignment and Network Comparison (F. Emmert-Streib, M. Dehmer, Y. Shi), In Information Sciences, volume 346-347, 2016. [bibtex]
[110]The process of analyzing data is the emergent feature of data science (F. Emmert-Streib, S. Moutari, M. Dehmer), In Frontiers in Genetics, volume 7, 2016. [bibtex]
[109]A BRCA1 deficient, NF$\kappa$B driven immune signal predicts good outcome in Triple Negative breast cancer (N. Buckley, P. Haddock, R. De Matos Simoes, E. Parkes, G. Irwin, F. Emmert-Streib, S. McQuaid, R. Kennedy, P. Mullan), In Oncotarget, volume 7, 2016. [bibtex]
[108]Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In Briefings in Bioinformatics, volume 17, 2016. [bibtex] [doi]
2015, submitted
[107]The evolution of modularity in protein networks: A second-order gene duplication model (F. Emmert-Streib, G.V. Glazko), In , 2015, submitted. [bibtex]
2015
[106] Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices (M. Dehmer, F. Emmert-Streib, Y. Shi, M. Stefu, S. Tripathi), In PLoS ONE, Public Library of Science, volume 10, 2015. [bibtex] [pdf] [doi]
[105]Urinary Thrombomodulin Levels Were Significantly Higher Following Occupational Exposure to Chemicals, In The Presence of Dipstick Protein, But Not in the Presence of Dipstick Blood (MW Ruddock, R de Matos Simoes, DO Rourke, B Duggan, M et al. Stevenson), In Biology and Medicine, volume 7, 2015. [bibtex]
[104] Graph distance measures based on topological indices revisited (M. Dehmer, F. Emmert-Streib, Y. Shi), In Applied Mathematics and Computation, volume 266, 2015. () [bibtex] [pdf] [doi]
[103]Entropy of weighted graphs with Randi\'c weights (Z. Chen, M. Dehmer, F. Emmert-Streib, Y. Shi), In Entropy, volume 17, 2015. [bibtex]
[102]Using shRNA experiments to validate gene regulatory networks (C. Olsen, K. Fleming, N. Prendergast, R. Rubio, F. Emmert-Streib, G. Bontempi, J. Quackenbush, B. Haibe-Kains), In Genomics Data, volume 4, 2015. () [bibtex]
[101]Biological networks: The microscope of the 21st century? (F. Emmert-Streib, M. Dehmer), In Frontiers in Genetics, volume 6, 2015. [bibtex]
[100]Effects of subsampling on characteristics of RNA-seq data from triple negative breast cancer patients (A. Stupnikov, G. Glazko, F. Emmert-Streib), In Chinese Journal of Cancer, volume 34, 2015. [bibtex]
[99]Comprehensive molecular pathology analysis of small bowel adenocarcinoma reveals novel targets with potential clinical utility (M. Alvi, D. McArt, P. Kelly, M-A Fuchs, M. Alderdice, C. McCabe, V. Bingham, C. McGready, S. Tripathi, F. Emmert-Streib, M. Loughrey, S. McQaid, P. Maxwell, P. Hamilton, J. James, R. Wilson, M. Salto-Tellez), In Oncotarget, volume 6, 2015. [bibtex]
[98]Computational Cancer Biology: Education is a key to many locks (F. Emmert-Streib, S-D Zhang, P. Hamilton), In BMC Cancer, volume 15, 2015. [bibtex]
[97]Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data (Dalleau S. de Matos Simoes, K.E. Williamson, F. Emmert-Streib), In BMC Systems Biology, volume 9, 2015. [bibtex]
[96]Graph Distance Mesures Based on Topological Indices Revisited (Y. Shi, F. Emmert-Streib, M. Dehmer), In Applied Mathematics and Computation, volume 266, 2015. [bibtex]
[95]Structural Analysis of Treatment Cycles Representing Transitions Between Nursing Organizational Units Inferred from Diabetes (M. Dehmer, Z. Kurt, F. Emmert-Streib, C. Them, E. Schulc, S. Hofer), In PLoS ONE, volume 10, 2015. [bibtex]
2014
[94]Inference and validation of predictive gene networks from biomedical literature and gene expression data (C Olsen, K. Fleming, N. Prendergast, R. Rubio, F Emmert-Streib, G. Bontempi, B. Haibe-Kains, J. Quackenbush), In Genomics, volume 103, 2014. [bibtex]
[93]NetBioV: An R package for visualizing large-scale data in Network Biology (S. Tripathi, M. Dehmer, F. Emmert-Streib), In Bioinformatics, 2014. [bibtex]
[92]Dry computational approaches for wet medical problems (F. Emmert-Streib, S-D Zhang, P. Hamilton), In Journal of Translational Medicine, volume 12, 2014. [bibtex]
[91]The gene regulatory network for breast cancer: Integrated regulatory landscape of cancer hallmarks (F. Emmert-Streib, R. de Matos Simoes, P. Mullan, B. Haibe-Kains, M. Dehmer), In Front. Genet., volume 5, 2014. [bibtex]
[90]Report from the 2nd Summer School in Computational Biology organized by the Queen's University of Belfast (F. Emmert-Streib, S-D Zhang, P. Hamilton), In Genomics Data, volume 2, 2014. [bibtex]
[89]Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics (B. Haibe-Kains, F. Emmert-Streib), In Front. Genet., volume 5, 2014. [bibtex]
[88]Probabilistic Inequalities for Evaluating Structural Network Measures (V. Kraus, M. Dehmer, F. Emmert-Streib), In Information Sciences, volume 288, 2014. [bibtex]
[87]Untangling statistical and biological models to understand network inference: The need for a genomics network ontology (F. Emmert-Streib, M. Dehmer, B. Haibe-Kains), In Front. Genet., volume 5, 2014. [bibtex]
[86]A Computational Approach to Construct a Multivariate Complete Graph Invariant (M. Dehmer, F. Emmert-Streib, M. Grabner), In Information Sciences, volume 260, 2014. [bibtex]
[85]Interrelations of Graph Distance Measures Based on Topological Indices (M. Dehmer, F. Emmert-Streib, Y. Shi), In PLoS One, volume 9, 2014. [bibtex]
[84]Entropy bounds for dendrimers (Z. Chen, M. Dehmer, F. Emmert-Streib, Y. Shi), In Applied Mathematics and Computation, volume 242, 2014. [bibtex]
[83]Enhancing our understanding of ways to analyze metagenomes (F. Emmert-Streib), In Front. Genet., volume 5, 2014. [bibtex]
[82]Gene regulatory networks and their applications: Understanding biological and medical problems in terms of networks (F. Emmert-Streib, M. Dehmer, B. Haibe-Kains), In Front. Cell Dev. Biol., volume 2, 2014. [bibtex]
[81]Functional and genetic analysis of the colon cancer network (F. Emmert-Streib, R. de Matos Simoes, G Glazko, S. McDade, B. Haibe-Kains, A. Holzinger, M. Dehmer, F. Campbell), In BMC Bioinformatics, volume 15, 2014. [bibtex]
[80]Relevance of different prior knowledge sources for inferring gene interaction networks (C. Olsen, G. Bontempi, F. Emmert-Streib, J. Quackenbush, B. Haibe-Kains), In Front. Genet., volume 5, 2014. [bibtex]
[79]Comparative evaluation of gene set analysis approaches for RNA-Seq data (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In BMC Bioinformatics, volume 15, 2014. [bibtex]
[78]Netmes: Assessing gene network inference algorithms by ensemble network-based measures (A. Gokmen, Z. Kurt, M. Dehmer, F. Emmert-Streib), In Evolutionary Bioinformatics, volume 10, 2014. [bibtex]
[77]Gene Sets Net Correlations Analysis (GSNCA): A multivariate differential coexpression test for gene sets (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In Bioinformatics, volume 30, 2014. [bibtex]
2013
[76]B-cell lymphoma gene regulatory networks: Biological consistency among inference methods (R. de Matos Simoes, M. Dehmer, F. Emmert-Streib), In Front. Genet., volume 4, 2013. [bibtex]
[75]Enhancing systems medicine beyond genotype data by dynamic patient signatures: Having information and using it too (F. Emmert-Streib, M. Dehmer), In Front. Genet., volume 4, 2013. [bibtex]
[74]Learning Systems Biology: Conceptual Considerations Toward a Web-based Learning Platform (F. Emmert-Streib, M. Dehmer, F. Lyardet), In Education Sciences, volume 3, 2013. [bibtex]
[73]Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential (S. Tripathi, G.V. Glazko, F. Emmert-Streib), In Nucleic Acids Research, volume 6, 2013. [bibtex]
[72]Personalized medicine: Has it started yet? A reconstruction of the early history (F. Emmert-Streib), In Front Genet, volume 3, 2013. [bibtex]
[71]Influence of the experimental design of gene expression studies on the inference of gene regulatory networks: Environmental factors (F. Emmert-Streib), In PeerJ, volume 1, 2013. [bibtex]
[70]The human disease network: Opportunities for classification, diagnosis and prediction of disorders and disease genes (F. Emmert-Streib, S. Tripathi, R. de Matos Simoes, A.F. Hawwa, M. Dehmer), In Systems Biomedicine, volume 1, 2013. [bibtex]
[69]Interfacing cellular networks of \textitS. cerevisiae and \textitE. coli: Connecting dynamic and genetic information (R. de Matos Simoes, M. Dehmer, F. Emmert-Streib), In BMC Genomics, volume 14, 2013. [bibtex]
[68][COMMODE] A Large-Scale Database of Molecular Descriptors using compounds from PubChem (A. Dander, L.A.J. Mueller, R. Gallasch, S. Pabinger, F. Emmert-Streib, A. Graber, M. Dehmer), In Source Code for Biology and Medicine, volume 8, 2013. [bibtex]
[67]Quantitative Network Measures as Biomarkers for Classifying Prostate Cancer Disease States: A Systems Approach to Diagnostic Biomarkers (M. Dehmer, L.A.J. Mueller, F. Emmert-Streib), In PLoS ONE, volume 8, 2013. [bibtex]
[66]Large-Scale Evaluation of Molecular Descriptors by Means of Clustering (M. Dehmer, F. Emmert-Streib, S. Tripathi), In PLoS ONE, volume 8, 2013. [bibtex]
[65]Structural properties and complexity of a new network class: Collatz step graphs (F. Emmert-Streib), In PLoS ONE, volume 8, 2013. [bibtex]
[64]An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants (M. Dehmer, M. Grabner, A. Mowshowitz, F. Emmert-Streib), In Advances in Computational Mathematics, volume 39, 2013. [bibtex]
[63]Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data (F. Emmert-Streib, F. Abogunrin, R. de Matos Simoes, B. Duggan, M.W. Ruddock, C.N. Reid, O. Roddy, L. White, H.F. O'Kane, N.H. Anderson, D. O'Rourke, T. Nambirajan, K.E. Williamson), In BMC Medicine, volume 11, 2013. [bibtex]
[62]Network Nursing: Connections between Nursing and Complex Network Science (M. Dehmer, W.O. Hackl, F. Emmert-Streib, W. Schulc, C. Them), In International Journal of Nursing Knowledge, volume 24, 2013. [bibtex]
2012
[61]Assessment Method for a Power Analysis to Identify Differentially Expressed Pathways (S. Tripathi, F. Emmert-Streib), In PLoS ONE, Public Library of Science, volume 7, 2012. [bibtex]
[60]Statistical inference and reverse engineering of gene regulatory networks from observational expression data (F. Emmert-Streib, G.V. Glazko, Gökmen Altay, Ricardo de Matos Simoes), In Frontiers in Genetics, volume 3, 2012. [bibtex]
[59]Exploring statistical and population aspects of network complexity (F. Emmert-Streib, M. Dehmer), In PLoS ONE, volume 7, 2012. [bibtex]
[58]Limitations of the gene duplication model: Evolution of modules in protein interaction networks (F. Emmert-Streib), In PLoS ONE, volume 7, 2012. [bibtex]
[57]A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data (F. Emmert-Streib, R. de Matos Simoes, S. Tripathi, G.V. Glazko, M. Dehmer), In Scientific Reports, volume 2, 2012. [bibtex]
[56]Detecting sequence dependent transcriptional pauses from RNA and protein number time series (F. Emmert-Streib, A. Häkkinen, A.S. Ribeiro), In BMC Bioinformatics, volume 13, 2012. [bibtex]
[55]Harnessing the complexity of gene expression data from cancer: From single gene to structural pathway methods (F. Emmert-Streib, S. Tripathi, R. de Matos Simoes), In Biology Direct, volume 7, 2012. [bibtex]
[54]An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants (M. Dehmer, M. Grabner, A. Mowshowitz, F. Emmert-Streib), In Advances in Computational Mathematics, 2012. [bibtex]
[53]Bagging statistical network inference from large-scale gene expression data (R. de Matos Simoes, F. Emmert-Streib), In PLoS ONE, volume 7, 2012. [bibtex]
[52]Standardisation of diagnostic biomarker concentrations in urine; the hematuria caveat (Reid C.N., M. Stevenson, Abogunrin F., Ruddock M.W., Emmert-Streib F., Lamont J.V., Williamson K.E.), In PLoS ONE, volume 7, 2012. [bibtex]
[51]Organizational structure of the peripheral gene regulatory network in B-cell lymphoma (R. de Matos Simoes, S. Tripathi, F. Emmert-Streib), In BMC Systems Biology, volume 6, 2012. [bibtex]
[50]Universal construction mechanism for networks from one-dimensional symbol sequences (F. Emmert-Streib), In Applied Mathematics and Computation, volume 219, 2012. [bibtex]
[49]Evolutionary dynamics of the spatial Prisoner's Dilemma with self-inhibition (F. Emmert-Streib), In Applied Mathematics and Computation, volume 218, 2012. [bibtex]
[48]Gene set analysis for self-contained tests: complex null and specific alternative hypotheses (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In Bioinformatics, volume 28, 2012. [bibtex]
2011
[47]Pathway analysis of expression data: deciphering functional building blocks of complex diseases (F. Emmert-Streib, G.V. Glazko), In PLoS Computational Biology, volume 7, 2011. [bibtex]
[46]Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks (R. de Matos Simoes, F. Emmert-Streib), In PLoS ONE, volume 6, 2011. [bibtex]
[45]Structural Influence of gene networks on their inference: Analysis of C3NET (G. Altay, F. Emmert-Streib), In Biology Direct, volume 6, 2011. [bibtex]
[44]Structural Measures for Network Biology Using QuACN (L. Mueller, K. Kugler, A. Graber, F. Emmert-Streib, M. Dehmer), In BMC Bioinformatics, volume 12, 2011. [bibtex]
[43]Network Biology: A direct approach to study biological function (F. Emmert-Streib, G.V. Glazko), In Wiley Interdiscip Rev Syst Biol Med, volume 3, 2011. [bibtex]
[42]Networks for Systems Biology: Conceptual Connection of Data and Function (F. Emmert-Streib, M. Dehmer), In IET Systems Biology, volume 5, 2011. [bibtex]
[41]Parametric construction of episode networks from pseudoperiodic time series based on mutual information (F. Emmert-Streib), In PLoS ONE, volume 6, 2011. [bibtex]
[40]Connections between Classical and Parametric Network Entropies (M. Dehmer, A. Mowshowitz, F. Emmert-Streib), In PLoS ONE, volume 6, 2011. [bibtex]
2010
[39]Local network-based measures to assess the inferability of different regulatory networks (F. Emmert-Streib, G. Altay), In IET Systems Biology, volume 4, 2010. [bibtex]
[38]Statistic Complexity: Combining Kolmogorov Complexity with an Ensemble Approach (F. Emmert-Streib), In PLoS ONE, volume 5, 2010. [bibtex]
[37]Influence of the Time Scale on the Construction of Financial Networks (F. Emmert-Streib, M. Dehmer), In PLoS ONE, volume 5, 2010. [bibtex]
[36]Novel Information Measure for the Analysis of Chemical Graphs (M. Dehmer, F. Emmert-Streib, Y.R. Tsoy, K. Varmuza), In Bulletin of the Tomsk Polytechnic University, volume 316, 2010. [bibtex]
[35]Identifying Critical Financial Networks of the DJIA: Towards a Network-based Index (F. Emmert-Streib, M. Dehmer), In Complexity, volume 16, 2010. [bibtex]
[34]Revealing differences in gene network inference algorithms on the network-level by ensemble methods (G. Altay, F. Emmert-Streib), In Bioinformatics, volume 26, 2010. [bibtex]
[33]Inferring the conservative causal core of gene regulatory networks (G. Altay, F. Emmert-Streib), In BMC Systems Biology, volume 4, 2010. [bibtex]
[32]Exploratory analysis of spatiotemporal patterns of cellular automata by clustering compressibility (F. Emmert-Streib), In Physical Review E, volume 81, 2010. [bibtex]
2009
[31]Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets (G.V. Glazko, F. Emmert-Streib), In Bioinformatics, volume 25, 2009. [bibtex]
[30]Predicting cell cycle regulated genes by causal interactions (F. Emmert-Streib, M. Dehmer), In Plos One, volume 4, 2009. [bibtex]
[29]Hierarchical coordination of periodic genes in the cell cycle of it Saccharomyces cerevisiae (F. Emmert-Streib, M. Dehmer), In BMC Systems Biology, volume 3, 2009. [bibtex]
[28]On Entropy-based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures (M. Dehmer, K. Varmuza, S. Borgert, F. Emmert-Streib), In Journal of Chemical Information and Modeling, volume 49, 2009. [bibtex]
[27]Information Processing in the Transcriptional Regulatory Network of Yeast: Functional Robustness (F. Emmert-Streib, M. Dehmer), In BMC Systems Biology, volume 3, 2009. [bibtex]
[26]Fault Tolerance of Information Processing in Gene Networks (F. Emmert-Streib, M. Dehmer), In Physica A: Statistical Mechanics and its Applications, volume 388, 2009. [bibtex]
2008
[25]The Structural Information Content of Chemical Networks (M. Dehmer, F. Emmert-Streib), In Zeitschrift für Naturforschung A, volume 63a, 2008. [bibtex]
[24]Entropy Bounds for Hierarchical Molecular Networks (M. Dehmer, S. Borgert, F. Emmert-Streib), In PLoS ONE, volume 3, 2008. [bibtex]
[23]Robustness in Scale-free Networks: Comparing Directed and Undirected Networks (F. Emmert-Streib, M. Dehmer), In International Journal of Modern Physics C, volume 19, 2008. [bibtex]
[22]Structural Information Content of Networks: Graph Entropy based on Local Vertex Functionals (M. Dehmer, F. Emmert-Streib), In Computational Biology and Chemistry, volume 32, 2008. [bibtex]
[21]A Comparative Analysis of Multidimensional Features of Objects Resembling Sets of Graphs (M. Dehmer, F. Emmert-Streib, T. Gesell), In Applied Mathematics and Computation, volume 196, 2008. [bibtex]
2007
[20]Topolocial Mappings between Graphs, Trees and Generalized Trees (F. Emmert-Streib, M. Dehmer), In Applied Mathematics and Computation, volume 186, 2007. () [bibtex]
[19]Information Theoretic Measures of UHG Graphs with Low Computational Complexity (F. Emmert-Streib, M. Dehmer), In Applied Mathematics and Computation, volume 190, 2007. [bibtex]
[18]A Topological Algorithm for Identification of Structural Domains of Proteins (F. Emmert-Streib, A. Mushegian), In BMC Bioinformatics, volume 8, 2007. () [bibtex]
[17]Comparing Large Graphs Efficiently by Margines of Feature Vectors (M. Dehmer, F. Emmert-Streib), In Applied Mathematics and Computation, volume 188, 2007. (Remark: Both authors contributed equally to this work.) [bibtex]
[16]Nonlinear Time Series Prediction based on a Power-Law Noise Model (F. Emmert-Streib, M. Dehmer), In International Journal of Modern Physics C, volume 18, 2007. [bibtex]
[15]Harnessing naturally randomized transcription to infer regulatory relationships among genes (L Chen, F. Emmert-Streib, J.D. Storey), In Genome Biology, volume 8, 2007. [bibtex]
[14]The Chronic Fatigue Syndrome: A Comparative Pathway Analysis (F. Emmert-Streib), In Journal of Computational Biology, volume 14, 2007. [bibtex]
[13]Structural Similarity of Directed Universal Hierarchical Graphs: A low Computational Complexity Approach (M. Dehmer, F. Emmert-Streib), In Applied Mathematics and Computation, volume 194, 2007. [bibtex]
2006
[12]Measuring the Structural Similarity of Web-based Documents: A novel Approach (M. Dehmer, F. Emmert-Streib, A. Mehler, J. Kilian), In International Journal of Computational Intelligence, volume 3, 2006. () [bibtex]
[11]Perspectives of Graph Mining Techniques (M. Dehmer, F. Emmert-Streib, O. Wolkenhauer), In Rostocker Informatik Berichte, volume 30, 2006. [bibtex]
[10]A Similarity Measure for Graphs with Low Computational Complexity (M. Dehmer, F. Emmert-Streib, J. Kilian), In Applied Mathematics and Computation, volume 182, 2006. () [bibtex]
[9]Algorithmic Computation of Knot Polynomials of Secondary Structure Elemtents of Proteins (F. Emmert-Streib), In Journal of Computational Biology, volume 13, 2006. () [bibtex]
[8]Influence of the neural network topology on the learning dynamics (F. Emmert-Streib), In Neurocomputing, volume 69, 2006. () [bibtex]
[7]Ranking Genes from DNA Microarray Data of Cervical Cancer by a local Tree Comparison (F. Emmert-Streib, M. Dehmer, J. Liu, M. Mühlhäuser), In International Journal of Biomedical Sciences, volume 1, 2006. [bibtex]
[6]A Heterosynaptic Learning Rule for Neural Networks (F. Emmert-Streib), In International Journal of Modern Physics C, volume 17, 2006. [bibtex]
2005
[5]Stochastic Sznajd Model in Open Community (F. Emmert-Streib), In International Journal of Modern Physics C, volume 16, 2005. [bibtex]
[4]Self-organized annealing in laterally inhibited neural networks shows power law decay (F. Emmert-Streib), In Neural Information Processing - Letters and Reviews, volume 7, 2005. [bibtex]
[3]Active Learning in Recurrent Neural Networks Facilitated by an Hebb-like Learning Rule with Memory (F. Emmert-Streib), In Neural Information Processing - Letters and Reviews, volume 9, 2005. [bibtex]
2001
[2]A constrained HMM-based approach to the estimation of perceptual switching dynamics in Pigeons (J.R. Otterpohl, F. Emmert-Streib, K. Pawelzik), In Neurocomputing, volume 38-40, 2001. [bibtex]
2000
[1]Extracting the Dynamics of Perceptual Switching from Noisy Behaviour: An Application of Hidden Markov Modeling to Pecking Data from Pigeons (J.R. Otterpohl, J.D. Haynes, F. Emmert-Streib, G. Vetter, K. Pawelzik), In Journal of Physiology (Paris), volume 94, 2000. [bibtex]