Computational Biology and Machine Learning

Publications

Research Areas (all - type sorted, all - area sorted)

Publication Type

BN	Biological and Complex Networks	BS	Biostatistics
CB	Computational Biology	CN	Computational Neuroscience
IT	Information Theory	ML	Machine Learning
MC	MC Methods	CI	Computational Intelligence

J	Journal Article
C	Conference Article
B	Book
BE	Book (Ed.)
BC	Book Chapter
PE	Proceedings (Ed.)
PA	Proceedings (Ass. Ed.)
T	Thesis
TR	Technical Report

Selected Publications in:

In Preparation

J	1. Frank Emmert-Streib and Arcady Mushegian Topological Classification of Protein Structures by Knot Polynomials in preparation

J	2. Frank Emmert-Streib Detecting Modules in the Transcriptional Regulatory Network of Saccharomyces cerevisiae in preparation

J	3. Frank Emmert-Streib and Lin Chen and John D. Storey Functional Annotation of Genes in Saccharomyces cerevisiae based on Joint Betweenness in preparation

2007

J	4. Frank Emmert-Streib and Matthias Dehmer Toppolocial Mappings between Graphs, Trees and Generalized Trees Applied Mathematics and Computation, 186(2), 1326-1333.

J	5. Matthias Dehmer and Frank Emmert-Streib Comparing Large Graphs Efficiently by Margines of Feature Vectors Applied Mathematics and Computation, 188(2), 1699-1710.

J	6. Frank Emmert-Streib and Matthias Dehmer Information Theoretic Measures of UHG Graphs with Low Computational Complexity Applied Mathematics and Computation, 190(2), 1783-1794.

J	7. Matthias Dehmer and Frank Emmert-Streib Structural Similarity of Directed Universal Hierarchical Graphs: A low Computational Complexity Approach Applied Mathematics and Computation, 194(1)

J	8. Frank Emmert-Streib The Chronic Fatigue Syndrome: A Comparative Pathway Analysis Journal of Computational Biology, 14(7), 961-972.

J	9. Frank Emmert-Streib and Arcady Mushegian A Topological Algorithm for Identification of Structural Domains of Proteins BMC Bioinformatics, 8, 237.

J	10. Lin Chen and Frank Emmert-Streib and John D. Storey Harnessing naturally randomized transcription to infer regulatory relationships among genes Genome Biology, 8(10), R219.

PA	11. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors) Proceedings of the 2007 International Conference on Artificial Intelligence (ICAI'07) Frank Emmert-Streib (Associate Editor), CSREA Press.

PA	12. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors) Proceedings of the 2007 International Conference on Bioinformatics and Computational Biology (BIOCOMP'07) Frank Emmert-Streib (Associate Editor), CSREA Press.

PA	13. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors) Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods (GEM'07) Frank Emmert-Streib (Associate Editor), CSREA Press.

PA	14. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors) Proceedings of the 2007 International Conference on Scientific Computing (CSC'07) Frank Emmert-Streib (Associate Editor), CSREA Press.

C	15. Frank Emmert-Streib and Matthias Dehmer Global Information Processing in Gene Networks: Fault Tolerance Workshop on Computing and Communications from Biological Systems: Theory and Applications (CCBS), accepted.

J	16. Frank Emmert-Streib and Matthias Dehmer Nonlinear Time Series Prediction based on a Power-Law Noise Model International Journal of Modern Physics C, 18(12), 1839-1852.

C	17. Matthias Dehmer and Alexander Mehler and Frank Emmert-Streib Generalized Trees: Graph-Theoretical Characteristics and Distributions MLMTA'07 - The 2007 International Conference on Machine Learning: Models, Technologies & Applications, CSREA Press, accepted

C	18. Matthias Dehmer and Frank Emmert-Streib A Graph Mining Technique for Automatic Classification of Web Genre Data MLMTA'07 - The 2007 International Conference on Machine Learning: Models, Technologies & Applications, CSREA Press, accepted

C	19. Frank Emmert-Streib and Matthias Dehmer Optimization Procedure for Predicting Nonlinear Time Series based on a non-Gaussian Noise Model MICAI 2007: Advances in Artificial Intelligence, Lecture Notes in Computes Science (LNCS), 540-549.

2006

J	20. Matthias Dehmer and Frank Emmert-Streib and Jürgen Kilian A Similarity Measure for Graphs with Low Computational Complexity Applied Mathematics and Computation, 182(1), 447-459.

J	21. Matthias Dehmer and Frank Emmert-Streib and Olaf Wolkenhauer Perspectives of Graph Mining Techniques Rostocker Informatik Berichte, 30(2), 47--56.

J	22. Frank Emmert-Streib A Heterosynaptic Learning Rule for Neural Networks International Journal of Modern Physics C, 17(10), 1501-1520.

J	23. Frank Emmert-Streib and Matthias Dehmer and Jing Liu and Max Mühlhäuser Ranking Genes from DNA Microarray Data of Cervical Cancer by a local Tree Comparison International Journal of Biomedical Sciences, 1(1), 17-22.

J	24. Matthias Dehmer and Frank Emmert-Streib and Alexander Mehler and Jürgen Kilian Measuring the Structural Similarity of Web-based Documents: A novel Approach International Journal of Computational Intelligence, 3(1), 1-7.

J	25. Frank Emmert-Streib Algorithmic Computation of Knot Polynomials of Secondary Structure Elemtents of Proteins Journal of Computational Biology, 13(8), 1503-1512.

PA	26. Hamid R. Arabnia and Homayoun Valafar (Editors) Proceedings of the 2006 International Conference on Bioinformatics and Computational Biology (BIOCOMP'06) Frank Emmert-Streib (Associate Editor), CSREA Press.

27. Frank Emmert-Streib and Matthias Dehmer and Chris Seidel
Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data
BIOCOMP'06 - The 2006 International Conference on Bioinformatics & Computational Biology, Arabnia, H.A. and Valafar, H. (Eds.), CSREA Press, 477-482.

C	28. Frank Emmert-Streib and Eearl F. Glynn and Christopher Seidel and Christoph L. Bausch and Arcady Mushegian Detecting Pathological Pathways of the Chronic Fatigue Syndrome by the Comparison of Networks Critical Assessment of Microarray Data Analysis (CAMDA), accepted .

C	29. Frank Emmert-Streib and Matthias Dehmer Theoretical Bounds for the Number of inferable Edges in sparse Random Networks BIOCOMP'06 - The 2006 International Conference on Bioinformatics & Computational Biology, Arabnia, H.A. and Valafar, H. (Eds.), CSREA Press, 472-476.

C	30. Earl F. Glynn and Frank Emmert-Streib and Arcady Mushegian An Attempt to Categorize the Servity of the Chronic Fatigue Syndrome Disease using Affective Disorder Pathways Critical Assessment of Microarray Data Analysis (CAMDA), accepted .

31. Frank Emmert-Streib
A Novel Stochastic Learning Rule for Neural Networks
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Lecture Notes in Computer Science (LNCS), Jun Wang and Zhang Yi and Jacek M. Zurada and Bao-Liang Lu and Hujun Yin (Eds.), Springer, 414--423.

2005

C	32. Frank Emmert-Streib Protein graph partitioning by mutually maximization of cycle distributions VI. International Conference on Enformatika, Systems Sciences and Engineering, 8, 88-92.

J	33. Frank Emmert-Streib Active Learning in Recurrent Neural Networks Facilitated by an Hebb-like Learning Rule with Memory Neural Information Processing - Letters and Reviews, 9(2), 31-40.

J	34. Frank Emmert-Streib Self-organized annealing in laterally inhibited neural networks shows power law decay Neural Information Processing - Letters and Reviews, 7(1), 29-38.

C	35. Frank Emmert-Streib and Matthias Dehmer and Jürgen Kilian Classification of large graphs by a local tree decomposition Proceedings of the 2005 International Conference on Data Mining (DMIN'05), H.R. Arabnia and A. Scime (Eds.), 200-207.

C	36. Frank Emmert-Streib A neurobiologically motivated model for self-organized learning MICAI 2005: Advances in Artificial Intelligence, Lecture Notes in Computes Science (LNCS), Lecture Notes in Artificial Intelligence, Alexander Gelbukh and Hugo Terashima (Eds.), Springer, 3789, 415-424.

37. Frank Emmert-Streib
Self-Reinforcement Learning: A neurobiologically motivated Model
Annual Conference on Artificial & Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications - International Conference on Machine Intelligence (ACIDCA-ICMI), 335-342.

C	38. Matthias Dehmer and Frank Emmert-Streib and Jürgen Kilian and Andreas Zulauf Towards Clustering of Web-based Document Structures VIII. International Conference on Enformatika, Systems Sciences and Engineering, 10, 304-309.

C	39. Frank Emmert-Streib and Matthias Dehmer and Gökhan H. Bakir and M. Mühlhäuser Influence of Noise on the Inference of Dynamic Bayesian Networks from Short Time Series VIII. International Conference on Enformatika, Systems Sciences and Engineering, 10, 70-74.

C	40. Matthias Dehmer and Frank Emmert-Streib and Alexander Mehler and Jürgen Kilian and Max Mühlhäuser Application of a similarity measure for graphs to web-based document structures VI. International Conference on Enformatika, Systems Sciences and Engineering, 8, 77-81.

41. Frank Emmert-Streib and Mathhias Dehmer
A Systems Biology approach for the classification of DNA microarray data
International Conference on Artificial Neural Networks (ICANN), Workshop on applications of statistical and machine learning in Bioinformatics, Nicolaus Copernicus University in Torun, Warsaw, Poland, .

C	42. Frank Emmert-Streib and Matthias Dehmer First Studies of the Influence of Single Gene Perturbations on the Inference of Genetic Networks VIII. International Conference on Enformatika, Systems Sciences and Engineering, Krakow, 10, 65-69.

C	43. Frank Emmert-Streib and Matthias Dehmer and Jing Liu and Max Mühlhäuser A systems approach to gene ranking from DNA Microarray Data of cervical cancer VI. International Conference on Enformatika, Systems Sciences and Engineering, 8, 82-87.

2004

B	44. Frank Emmert-Streib Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus Mensch & Buch Verlag, Berlin.

2003

T	45. Frank Emmert-Streib Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus Ph.D. Thesis - Theoretical Physics, Universität Bremen (Germany).

2001

J	46. Jens R. Otterpohl and Frank Emmert-Streib and Klaus Pawelzik A constrained HMM-based approach to the estimation of perceptual switching dynamics in Pigeons Neurocomputing, 38-40, 1495-1501.

2000

J	47. Jens R. Otterpohl and John D. Haynes and Frank Emmert-Streib and G. Vetter and Klaus Pawelzik Extracting the Dynamics of Perceptual Switching from Noisy Behaviour: An Application of Hidden Markov Modeling to Pecking Data from Pigeons Journal of Physiology (Paris), 94(5-6), 555-567.

1999

48. J. Michael Herrmann and Frank Emmert-Streib and Klaus Pawelzik
Autonomous robots and neuroethology: Emergence of behavior from a sense of curiosity
Experiments with the Mini-Robot Khepera, Proceedings of the 1st Int. Khepera Workshop, U. Rüückert A. Löffler, F. Mondada (Eds.), HNI-Verlagsschriftenreihe, 64, 89-98.

Frank Emmert-Streib

Last modified: July 25 2007