409 search results - page 14 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
IDEAL
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
BIBM
2008
IEEE
14 years 1 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
JCB
2006
13 years 7 months ago
2006
Histones are DNA-binding proteins found in the chromatin of all eukaryotic cells. They are highly conserved and can be grouped into five major classes: H1/H5, H2A, H2B, H3, and H4...
IDEAL
2005
Springer
14 years 27 days ago
2005
Springer
Prediction of peroxisomal matrix proteins generally depends on the presence of one of two distinct motifs at the end of the amino acid sequence. PTS1 peroxisomal proteins have a we...
BMCBI
2004
13 years 7 months ago
2004
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...