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DMIN
2009
132views Data Mining» more  DMIN 2009»
13 years 3 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
BMCBI
2011
12 years 9 months ago
Conotoxin Protein Classification Using Free Scores of Words and Support Vector Machines
Background: Conotoxin has been proven to be effective in drug design and could be used to treat various disorders such as schizophrenia, neuromuscular disorders and chronic pain. ...
Nazar Zaki, Stefan Wolfsheimer, Grégory Nue...
BMCBI
2008
93views more  BMCBI 2008»
13 years 5 months ago
VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogens
Background: Prediction of bacterial virulent protein sequences has implications for identification and characterization of novel virulence-associated factors, finding novel drug/v...
Aarti Garg, Dinesh Gupta
BMCBI
2008
141views more  BMCBI 2008»
13 years 5 months ago
MiRTif: a support vector machine-based microRNA target interaction filter
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...
Yuchen Yang, Yu-Ping Wang, Kuo-Bin Li
BMCBI
2011
13 years 19 days ago
Support vector machines-based identification of alternative splicing in Arabidopsis thaliana from whole-genome tiling arrays
Background: Alternative splicing (AS) is a process which generates several distinct mRNA isoforms from the same gene by splicing different portions out of the precursor transcript...
Johannes Eichner, Georg Zeller, Sascha Laubinger, ...