Lev B. Klebanov
Lev B. Klebanov
Professor of Mathematics, Charles University, Prague
Подтвержден адрес электронной почты в домене mff.cuni.cz
A problem of Zolotarev and analogs of infinitely divisible and stable distributions in a scheme for summing a random number of random variables
LB Klebanov, GM Maniya, IA Melamed
Theory of Probability & Its Applications 29 (4), 791-794, 1985
Synergistic response to oncogenic mutations defines gene class critical to cancer phenotype
HR McMurray, ER Sampson, G Compitello, C Kinsey, L Newman, B Smith, ...
Nature 453 (7198), 1112-1116, 2008
How high is the level of technical noise in microarray data?
L Klebanov, A Yakovlev
Biology Direct 2 (1), 9, 2007
The effects of normalization on the correlation structure of microarray data
X Qiu, AI Brooks, L Klebanov, A Yakovlev
BMC bioinformatics 6 (1), 120, 2005
Correlation between gene expression levels and limitations of the empirical Bayes methodology for finding differentially expressed genes
X Qiu, L Klebanov, A Yakovlev
Statistical applications in genetics and molecular biology 4 (1), 2005
The methods of distances in the theory of probability and statistics
ST Rachev, L Klebanov, SV Stoyanov, F Fabozzi
Springer Science & Business Media, 2013
Variable selection and pattern recognition with gene expression data generated by the microarray technology
A Szabo, K Boucher, WL Carroll, LB Klebanov, AD Tsodikov, AY Yakovlev
Mathematical Biosciences 176 (1), 71-98, 2002
Characterization of distributions by the method of intensively monotone operators
AV Kakosyan, LB Klebanov, JA Melamed
Springer, 1984
Detecting intergene correlation changes in microarray analysis: a new approach to gene selection
R Hu, X Qiu, G Glazko, L Klebanov, A Yakovlev
BMC bioinformatics 10 (1), 20, 2009
A stochastic model of radiation carcinogenesis: latent time distributions and their properties
LB Klebanov, ST Rachev, AY Yakovlev
Mathematical Biosciences 113 (1), 51-75, 1993
A new type of stochastic dependence revealed in gene expression data
L Klebanov, C Jordan, A Yakovlev
Statistical Applications in Genetics and Molecular Biology 5 (1), 2006
Statistical methods and microarray data
L Klebanov, X Qiu, S Welle, A Yakovlev
Nature biotechnology 25 (1), 25-26, 2007
N-distances and their applications
LB Klebanov, V Beneš, I Saxl
Charles University in Prague, the Karolinum Press, 2005
Multivariate search for differentially expressed gene combinations
Y Xiao, R Frisina, A Gordon, L Klebanov, A Yakovlev
BMC bioinformatics 5 (1), 164, 2004
Sums of a random number of random variables and their approximations with ν-accompanying infinitely divisible laws
L Klebanov, S Rachev
Serdica Mathematical Journal 22 (4), 471p-496p, 1996
A multivariate extension of the gene set enrichment analysis
L Klebanov, G Glazko, P Salzman, A Yakovlev, Y Xiao
Journal of bioinformatics and computational biology 5 (05), 1139-1153, 2007
Multivariate exploratory tools for microarray data analysis
A Szabo, K Boucher, D Jones, AD Tsodikov, LB Klebanov, AY Yakovlev
Biostatistics 4 (4), 555-567, 2003
Diverse correlation structures in gene expression data and their utility in improving statistical inference
L Klebanov, A Yakovlev
The Annals of Applied Statistics 1 (2), 538-559, 2007
Utility of correlation measures in analysis of gene expression
A Almudevar, LB Klebanov, X Qiu, P Salzman, AY Yakovlev
NeuroRx 3 (3), 384-395, 2006
Heavy tailed distributions
LB Klebanov
Matfyzpress, 2003
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