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BMCBI
2005
251views more  BMCBI 2005»
15 years 6 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
BMCBI
2005
151views more  BMCBI 2005»
15 years 6 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
BMCBI
2005
102views more  BMCBI 2005»
15 years 6 months ago
BioCreAtIvE Task1A: entity identification with a stochastic tagger
Background: Our approach to Task 1A was inspired by Tanabe and Wilbur's ABGene system [1,2]. Like Tanabe and Wilbur, we approached the problem as one of part-of-speech taggin...
Shuhei Kinoshita, K. Bretonnel Cohen, Philip V. Og...
TOG
2008
236views more  TOG 2008»
15 years 6 months ago
Face swapping: automatically replacing faces in photographs
In this paper, we present a complete system for automatic face replacement in images. Our system uses a large library of face images created automatically by downloading images fr...
Dmitri Bitouk, Neeraj Kumar, Samreen Dhillon, Pete...
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BMCBI
2004
144views more  BMCBI 2004»
15 years 6 months ago
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
Background: The function of a novel gene product is typically predicted by transitive assignment of annotation from similar sequences. We describe a novel method, GOtcha, for pred...
David M. A. Martin, Matthew Berriman, Geoffrey J. ...
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