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» Predicting Nucleolar Proteins Using Support-Vector Machines
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92
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NLPRS
2001
Springer
15 years 4 months ago
Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines
The accuracy of part-of-speech (POS) tagging for unknown words is substantially lower than that for known words. Considering the high accuracy rate of up-to-date statistical POS t...
Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto
JCC
2002
49views more  JCC 2002»
14 years 11 months ago
Support vector machines for predicting HIV protease cleavage sites in protein
Yu-Dong Cai, Xiao-Jun Liu, Xue-biao Xu, Kuo-Chen C...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 1 days ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
96
Voted
BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
15 years 6 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
CIBCB
2005
IEEE
15 years 5 months ago
A Neural Network for Predicting Protein Disorder using Amino Acid Hydropathy Values
— Proteins have been discovered to contain ordered regions and disordered regions, where ordered regions have a defined three-dimensional (3D) structure and disordered regions d...
Deborah Stoffer, L. Gwenn Volkert