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» A New Hybrid Approach for Unsupervised Gene Selection
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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
BMCBI
2007
128views more  BMCBI 2007»
13 years 6 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
TSD
2004
Springer
14 years 2 days ago
Dynamic Unit Selection for Very Low Bit Rate Coding at 500 bits/sec
This paper presents a new unit selection process for Very Low Bit Rate speech encoding around 500 bits/sec. The encoding is based on speech recognition and speech synthesis technol...
Marc Padellini, François Capman, Genevi&egr...
BMCBI
2007
156views more  BMCBI 2007»
13 years 6 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
BMCBI
2006
119views more  BMCBI 2006»
13 years 6 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt