Details

Autor(en) / Beteiligte

• Wren, Jonathan D
• Kupfer, Doris M
• Perkins, Edward J
• Bridges, Susan
• Winters-Hilt, Stephen
• Dozmorov, Mikhail G
• Braga-Neto, Ulisses

Titel

Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

Ist Teil von

• BMC bioinformatics, 2011-10, Vol.12 (S10), p.S1-S1, Article S1

Ort / Verlag

London: BioMed Central

Erscheinungsjahr

2011

Link zum Volltext

Quelle

2022 ECC(Springer)

Beschreibungen/Notizen

• Computational Biology and Bioinformatics for a New Decade College Station, TX, USA 1-2 April 2011 Author details1-Arthritis and Immunology Research Program, Oklahoma Medical Research Foundation; 825 N.E. 13th Street, Oklahoma City, OK 73104-5005, USAEMPTY2-Aerospace Medical Institute, Federal Aviation Administration, Oklahoma City, OK 73169, USAEMPTY3-US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180, USAEMPTY4-Department of Computer Science and Engineering, Mississippi State University, Box 9637, Mississippi State, MS 39762, USAEMPTY5-Computer Science Department, University of New Orleans, USAEMPTY6-Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USAEMPTY Supplemental Information: Joan W. Bennett, from Rutgers University and Member of the National Academy of Science, presented the talk Chromosomal Composition and Computational Competence; Donald Geman, from The Johns Hopkins University and co-inventor of the Gibbs Sampler and Random Forest Classifiers, lectured on Measuring Network Regulation and Differential Expression by Rank Conservation; while John Weinstein, Chair of the Department of Bioinformatics and Computational Biology at the University of Texas M.D. Anderson Cancer Center, talked on Personalizing Cancer Medicine in the Era of Next-Generation Sequencing: Network analysis Ying Li et al. describe RefNetBuilder [32], a platform for the construction of putative reference pathways or gene regulatory networks from expressed sequence tags (ESTs), which provides a bioinformatics tool for researchers who work with non-model organisms.