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BMCBI
2005
154views more  BMCBI 2005»
14 years 11 months ago
GObar: A Gene Ontology based analysis and visualization tool for gene sets
Background: Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such ...
Jason S. M. Lee, Gurpreet Katari, Ravi Sachidanand...
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
15 years 3 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
BMCBI
2007
179views more  BMCBI 2007»
14 years 12 months ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...
GLOBECOM
2008
IEEE
15 years 29 days ago
Towards the Performance of ML and the Complexity of MMSE - A Hybrid Approach
—In this paper, we present a near ML-achieving sphere search technique that reduces the number of search operations significantly over existing sphere decoding (SD) algorithms. ...
Byonghyo Shim, Jun Won Choi, Insung Kang
ICASSP
2010
IEEE
15 years 2 days ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang