Clustering challenges in biological networks - Info and Reading Options
By Sergiy Butenko, W. Art Chaovalitwongse and Panos M. Pardalos
"Clustering challenges in biological networks" was published by World Scientific in 2009 - New Jersry, it has 334 pages and the language of the book is English.
“Clustering challenges in biological networks” Metadata:
- Title: ➤ Clustering challenges in biological networks
- Authors: Sergiy ButenkoW. Art ChaovalitwongsePanos M. Pardalos
- Language: English
- Number of Pages: 334
- Publisher: World Scientific
- Publish Date: 2009
- Publish Location: New Jersry
“Clustering challenges in biological networks” Subjects and Themes:
- Subjects: ➤ Mathematical models - Biology - Congresses - Cluster analysis - Bioinformatics - Biological models
Edition Specifications:
- Pagination: xii, 334 p. :
Edition Identifiers:
- The Open Library ID: OL23713586M - OL18644670W
- Library of Congress Control Number (LCCN): 2009280195
- ISBN-13: 9789812771650
- ISBN-10: 9812771654
- All ISBNs: 9812771654 - 9789812771650
AI-generated Review of “Clustering challenges in biological networks”:
"Clustering challenges in biological networks" Table Of Contents:
- 1- Fixed-parameter algorithms for graph-modeled data clustering / F. Hüffner, R. Niedemeier and S. Wernicke
- 2- Probabilistic distance clustering : algorithm and applications / C. Iyigun and A. Ben-Israel
- 3- Analysis of regulatory and interaction networks from clusters of co-expressed genes / E. Yang ... [et al.]
- 4- Graph-based approaches for motif discovery / E. Zaslavsky
- 5- Statistical clustering analysis : an introduction / H. Zhang
- 6- Diversity graphs / P. Blain ... [et al.]
- 7- Identifying critical nodes in protein-protein interaction networks / V. Boginski and C.W. Commander
- 8- Faster algorithms for constructing a concept (Galois) lattice / V. Choi
- 9- A projected clustering algorithm and its biomedical application / P. Deng, Q. Ma and W. Wu
- 10- Graph algorithms for integrated biological analysis, with applications to Type 1 diabetes data / J. D. Eblen ... [et al.]
- 11- A novel similarity-based modularity function for graph partitioning / Z. Feng ... [et al.]
- 12- Mechanism-based clustering of genome-wide RNA levels : roles of transcription and transcript-degradation rates / S. Ji ... [et al.]
- 13- The complexity of feature selection for consistent biclustering / O. E. Kundakcioglu and P. M. Pardalos
- 14- Clustering electroencephalogram recordings to study mesial temporal lobe epilepsy / C.-C. Liu ... [et al.]
- 15- Relating subjective and objective pharmacovigilance association measures / R. K. Pearson
- 16- A novel clustering approach : global optimum search with enhanced positioning / M. P. Tan and C. A. Floudas.
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