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» Predicting Nucleolar Proteins Using Support-Vector Machines
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BMCBI
2005
125views more  BMCBI 2005»
15 years 3 months ago
A simple approach for protein name identification: prospects and limits
Background: Significant parts of biological knowledge are available only as unstructured text in articles of biomedical journals. By automatically identifying gene and gene produc...
Katrin Fundel, Daniel Güttler, Ralf Zimmer, J...
118
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BMCBI
2008
98views more  BMCBI 2008»
15 years 3 months ago
PredGPI: a GPI-anchor predictor
Background: Several eukaryotic proteins associated to the extracellular leaflet of the plasma membrane carry a Glycosylphosphatidylinositol (GPI) anchor, which is linked to the C-...
Andrea Pierleoni, Pier Luigi Martelli, Rita Casadi...
143
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ILP
2005
Springer
15 years 9 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
127
Voted
ISMB
1993
15 years 5 months ago
Transmembrane Segment Prediction from Protein Sequence Data
Weconsider tile automatedidentification of transmembrane domains in membrane protein sequences. 324 proteins (containing 1585 segrrmnts) werc examined, representing every protein ...
Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 7 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...