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BMCBI
2010
97views more  BMCBI 2010»
13 years 9 months ago
Dual-functioning transcription factors in the developmental gene network of Drosophila melanogaster
Background: Quantitative models for transcriptional regulation have shown great promise for advancing our understanding of the biological mechanisms underlying gene regulation. Ho...
Denis C. Bauer, Fabian A. Buske, Timothy L. Bailey
BIB
2007
59views more  BIB 2007»
13 years 9 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...
BMCBI
2005
133views more  BMCBI 2005»
13 years 8 months ago
Ab initio identification of putative human transcription factor binding sites by comparative genomics
Background: Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played b...
Davide Corà, Carl Herrmann, Christoph Diete...
BMCBI
2006
124views more  BMCBI 2006»
13 years 9 months ago
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...
Feng-Biao Guo, Chun-Ting Zhang
BMCBI
2008
228views more  BMCBI 2008»
13 years 9 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye