Lev B. Klebanov
Lev B. Klebanov
Professor of Mathematics, Charles University, Prague
Verified email at mff.cuni.cz
TitleCited byYear
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, 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
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
The methods of distances in the theory of probability and statistics
ST Rachev, L Klebanov, SV Stoyanov, F Fabozzi
Springer Science & Business Media, 2013
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, 2007
Multivariate search for differentially expressed gene combinations
Y Xiao, R Frisina, A Gordon, L Klebanov, A Yakovlev
BMC bioinformatics 5 (1), 164, 2004
N-distances and their applications
LB Klebanov, V Beneš, I Saxl
Charles University in Prague, the Karolinum Press, 2005
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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