Sciweavers

5628 search results - page 1091 / 1126
» Data challenges at Yahoo!
Sort
View
BMCBI
2010
154views more  BMCBI 2010»
15 years 18 hour ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
BMCBI
2007
158views more  BMCBI 2007»
15 years 18 hour ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
BMCBI
2010
70views more  BMCBI 2010»
15 years 18 hour ago
The Text-mining based PubChem Bioassay neighboring analysis
Background: In recent years, the number of High Throughput Screening (HTS) assays deposited in PubChem has grown quickly. As a result, the volume of both the structured informatio...
Lianyi Han, Tugba O. Suzek, Yanli Wang, Steve H. B...
BMCBI
2010
108views more  BMCBI 2010»
15 years 18 hour ago
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
Background: Transcription factors (TFs) control transcription by binding to specific regions of DNA called transcription factor binding sites (TFBSs). The identification of TFBSs ...
Fernando Garcia-Alcalde, Armando Blanco, Adrian J....
BMCBI
2010
139views more  BMCBI 2010»
15 years 18 hour ago
CMASA: an accurate algorithm for detecting local protein structural similarity and its application to enzyme catalytic site anno
Background: The rapid development of structural genomics has resulted in many "unknown function" proteins being deposited in Protein Data Bank (PDB), thus, the functiona...
Gong-Hua Li, Jing-Fei Huang
« Prev « First page 1091 / 1126 Last » Next »