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Lev Klebanov

Showing results (1-10 of 16) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|February 7, 2013
Gene selection with the δ-sequence methodXing Qiu, Lev Klebanov
Bioinformation|June 29, 2007
Is there an alternative to increasing the sample size in microarray studies?Lev Klebanov, Andrei Yakovlev
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Treating expression levels of different genes as a sample in microarray data analysis: is it worth a risk?Lev Klebanov, Andrei Yakovlev
Biology Direct|April 13, 2007
How high is the level of technical noise in microarray data?Lev Klebanov, Andrei Yakovlev
Journal of Bioinformatics and Computational Biology|May 9, 2008
Testing differential expression in nonoverlapping gene pairs: a new perspective for the empirical Bayes methodLev Klebanov, Xing Qiu, Andrei Yakovlev
Biology Direct|November 9, 2007
Revisiting adverse effects of cross-hybridization in Affymetrix gene expression data: do they matter for correlation analysis?Lev Klebanov, Linlin Chen, Andrei Yakovlev
Methods in Molecular Biology (Clifton, N.J.)|February 7, 2013
Aggregation effect in microarray data analysisLinlin Chen, Anthony Almudevar, Lev Klebanov
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Correlation between gene expression levels and limitations of the empirical bayes methodology for finding differentially expressed genesXing Qiu, Lev Klebanov, Andrei Yakovlev
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
A new type of stochastic dependence revealed in gene expression dataLev Klebanov, Craig Jordan, Andrei Yakovlev
Nature Biotechnology|January 11, 2007
Statistical methods and microarray dataLev Klebanov, Xing Qiu, Stephen Welle, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|February 7, 2013
Gene selection with the δ-sequence methodXing Qiu, Lev Klebanov
Bioinformation|June 29, 2007
Is there an alternative to increasing the sample size in microarray studies?Lev Klebanov, Andrei Yakovlev
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Treating expression levels of different genes as a sample in microarray data analysis: is it worth a risk?Lev Klebanov, Andrei Yakovlev
Biology Direct|April 13, 2007
How high is the level of technical noise in microarray data?Lev Klebanov, Andrei Yakovlev
Journal of Bioinformatics and Computational Biology|May 9, 2008
Testing differential expression in nonoverlapping gene pairs: a new perspective for the empirical Bayes methodLev Klebanov, Xing Qiu, Andrei Yakovlev
Biology Direct|November 9, 2007
Revisiting adverse effects of cross-hybridization in Affymetrix gene expression data: do they matter for correlation analysis?Lev Klebanov, Linlin Chen, Andrei Yakovlev
Methods in Molecular Biology (Clifton, N.J.)|February 7, 2013
Aggregation effect in microarray data analysisLinlin Chen, Anthony Almudevar, Lev Klebanov
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Correlation between gene expression levels and limitations of the empirical bayes methodology for finding differentially expressed genesXing Qiu, Lev Klebanov, Andrei Yakovlev
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
A new type of stochastic dependence revealed in gene expression dataLev Klebanov, Craig Jordan, Andrei Yakovlev
Nature Biotechnology|January 11, 2007
Statistical methods and microarray dataLev Klebanov, Xing Qiu, Stephen Welle, et al.
Pageof 2