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» Gene function prediction using labeled and unlabeled data
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ISDA
2009
IEEE
15 years 6 months ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
BMCBI
2008
135views more  BMCBI 2008»
14 years 12 months ago
Ab-origin: an enhanced tool to identify the sourcing gene segments in germline for rearranged antibodies
Background: In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segment...
Xiaojing Wang, Di Wu, SiYuan Zheng, Jing Sun, Lin ...
CSDA
2007
108views more  CSDA 2007»
14 years 11 months ago
Diagnostics for functional regression via residual processes
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
Jeng-Min Chiou, Hans-Georg Müller
BMCBI
2007
113views more  BMCBI 2007»
14 years 12 months ago
miRAS: a data processing system for miRNA expression profiling study
Background: The study of microRNAs (miRNAs) is attracting great considerations. Recent studies revealed that miRNAs play as important regulators of gene expression and some even a...
Feng Tian, Huayue Zhang, Xinyu Zhang, Chi Song, Yo...
BMCBI
2005
143views more  BMCBI 2005»
14 years 11 months ago
Evaluation of BioCreAtIvE assessment of task 2
Background: Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extr...
Christian Blaschke, Eduardo Andrés Le&oacut...