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BMCBI
2010
135views more  BMCBI 2010»
14 years 10 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...
BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
An algorithm for automated closure during assembly
Background: Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can invol...
Sergey Koren, Jason R. Miller, Brian Walenz, Grang...
BMCBI
2008
228views more  BMCBI 2008»
14 years 10 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
BMCBI
2007
124views more  BMCBI 2007»
14 years 10 months ago
Analysis on multi-domain cooperation for predicting protein-protein interactions
Background: Domains are the basic functional units of proteins. It is believed that protein-protein interactions are realized through domain interactions. Revealing multi-domain c...
Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun ...
BMCBI
2008
128views more  BMCBI 2008»
14 years 10 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
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