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» Maximum entropy methods for biological sequence modeling
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RECOMB
2002
Springer
14 years 9 months ago
Combining pairwise sequence similarity and support vector machines for remote protein homology detection
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
Li Liao, William Stafford Noble
AAAI
2012
11 years 11 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
IJCNLP
2005
Springer
14 years 2 months ago
Two-Phase Biomedical Named Entity Recognition Using A Hybrid Method
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
Seonho Kim, Juntae Yoon, Kyung-Mi Park, Hae-Chang ...
BMCBI
2007
125views more  BMCBI 2007»
13 years 9 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
IDEAS
1997
IEEE
237views Database» more  IDEAS 1997»
14 years 1 months ago
Sequence Comparison Using a Relational Database Approach
A variety of heterogenous data sources is available in the field of molecular biology. Our focus lies on the biological sequence data, i. e. data maintained in collections like EM...
André Bergholz, Stephan Heymann, Jörg ...