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CSB
2003
IEEE
13 years 10 months ago
A Probabilistic Model for Identifying Protein Names and their Name Boundaries
This paper proposes a method for identifying protein names in biomedical texts with an emphasis on detecting protein name boundaries. We use a probabilistic model which exploits s...
Kazuhiro Seki, Javed Mostafa
CANDC
2004
ACM
13 years 4 months ago
Identification of related gene/protein names based on an HMM of name variations
Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important p...
Lana Yeganova, Lawrence H. Smith, W. John Wilbur
BMCBI
2005
125views more  BMCBI 2005»
13 years 4 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...
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski
BMCBI
2007
175views more  BMCBI 2007»
13 years 5 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...