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BMCBI
2010
117views more  BMCBI 2010»
13 years 7 months ago
Identification of NAD interacting residues in proteins
Background: Small molecular cofactors or ligands play a crucial role in the proper functioning of cells. Accurate annotation of their target proteins and binding sites is required...
Hifzur Rahman Ansari, Gajendra P. S. Raghava
BMCBI
2008
170views more  BMCBI 2008»
13 years 7 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
JMLR
2006
132views more  JMLR 2006»
13 years 7 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
BMCBI
2004
140views more  BMCBI 2004»
13 years 7 months ago
What can we learn from noncoding regions of similarity between genomes?
Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
Thomas A. Down, Tim J. P. Hubbard
MANSCI
2007
121views more  MANSCI 2007»
13 years 7 months ago
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises diļ¬...
Sanjiv R. Das, Mike Y. Chen