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» Learning Methods for DNA Binding in Computational Biology
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ACST
2006
14 years 11 months ago
PDC: Pattern discovery with confidence in DNA sequences
Pattern discovery in DNA sequences is one of the most challenging tasks in molecular biology and computer science. The main goal of pattern discovery in DNA sequences is to identi...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Yan Sun, Zijia...
RECOMB
2002
Springer
15 years 10 months ago
Revealing protein structures: a new method for mapping antibody epitopes
A recent idea for determining the three-dimensional structure of a protein uses antibody recognition of surface structure and random peptide libraries to map antibody epitope comb...
Brendan Mumey, Brian W. Bailey, Edward A. Dratz
72
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BMCBI
2007
121views more  BMCBI 2007»
14 years 9 months ago
Predicting zinc binding at the proteome level
Background: Metalloproteins are proteins capable of binding one or more metal ions, which may be required for their biological function, for regulation of their activities or for ...
Andrea Passerini, Claudia Andreini, Sauro Menchett...
NIPS
2001
14 years 11 months ago
Active Learning in the Drug Discovery Process
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
Manfred K. Warmuth, Gunnar Rätsch, Michael Ma...
BMCBI
2006
82views more  BMCBI 2006»
14 years 9 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco