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Victor Tkachev
Deutsche Bank
17Publications
5H-index
70Citations
Publications 18
Newest
#1Victor TkachevH-Index: 5
#2Maxim Sorokin (MSMU: I.M. Sechenov First Moscow State Medical University)H-Index: 9
Last.Anton Buzdin (MSMU: I.M. Sechenov First Moscow State Medical University)H-Index: 9
view all 5 authors...
1 CitationsSource
#1Nicolas Borisov (MSMU: I.M. Sechenov First Moscow State Medical University)H-Index: 8
#2Irina Shabalina (PetrSU: Petrozavodsk State University)H-Index: 5
Last.Anton Buzdin (MSMU: I.M. Sechenov First Moscow State Medical University)H-Index: 9
view all 8 authors...
Background Harmonization techniques make different gene expression profiles and their sets compatible and ready for comparisons. Here we present a new bioinformatic tool termed Shambhala for harmonization of multiple human gene expression datasets obtained using different experimental methods and platforms of microarray hybridization and RNA sequencing.
5 CitationsSource
#1Daniil NikitinH-Index: 3
Last.Anton BuzdinH-Index: 26
view all 9 authors...
Background: Retroelements (REs) are mobile genetic elements comprising ~40% of human DNA. They can reshape expression patterns of nearby genes by providing various regulatory sequences. The proportion of regulatory sequences held by REs can serve a measure of regulatory evolution rate of the respective genes and molecular pathways. Methods: We calculated RE-linked enrichment scores for individual genes and molecular pathways based on ENCODE project epigenome data for enhancer-specific histone mo...
Source
Background: Transposons are selfish genetic elements that self-reproduce in host DNA. They were active during evolutionary history and now occupy almost half of mammalian genomes. Close insertions of transposons reshaped structure and regulation of many genes considerably. Co-evolution of transposons and host DNA frequently results in the formation of new regulatory regions. Previously we published a concept that the proportion of functional features held by transposons positively correlates wit...
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#1Daniil NikitinH-Index: 3
#2Andrew GarazhaH-Index: 10
Last.Anton BuzdinH-Index: 26
view all 10 authors...
In the article ‘Retroelement—Linked Transcription Factor Binding Patterns Point to Quickly Developing Molecular Pathways in Human Evolution,’ a number of transcription factor binding sites (TFBS) mapped on all retroelement classes were incorrectly calculated as sum of TFBS numbers separately mapped on LINEs, SINEs and LTR retrotransposons/endogenous retroviruses (LR/ERVs) [...]
Source
#1Anton BuzdinH-Index: 26
#2Andrew GarazhaH-Index: 10
Last.Nurshat Gaifullin (MSU: Moscow State University)H-Index: 8
view all 11 authors...
e13032Background: Intracellular molecular pathways (IMPs) control all major events in the living cell. They are considered hotspots in contemporary oncology because knowledge of IMPs activation is ...
Source
#1Elena PoddubskayaH-Index: 6
#2Anton BuzdinH-Index: 26
Last.Nikolay M. Borisov (MSMU: I.M. Sechenov First Moscow State Medical University)H-Index: 14
view all 17 authors...
e13143Background: Anticancer Targeted Drugs (ATDs) specifically target one or a few types of tumor-related molecules in a cell. More than two hundred of ATDs were approved worldwide. They have diff...
1 CitationsSource
#1Daniil NikitinH-Index: 3
#2Andrew GarazhaH-Index: 10
Last.Anton BuzdinH-Index: 26
view all 10 authors...
Background: Retroelements (REs) are transposable elements occupying ~40% of the human genome that can regulate genes by providing transcription factor binding sites (TFBS). RE-linked TFBS profile can serve as a marker of gene transcriptional regulation evolution. This approach allows for interrogating the regulatory evolution of organisms with RE-rich genomes. We aimed to characterize the evolution of transcriptional regulation for human genes and molecular pathways using RE-linked TFBS accumula...
5 CitationsSource
#1Victor TkachevH-Index: 5
#2Maxim SorokinH-Index: 9
Last.Nicolas Borisov (MSMU: I.M. Sechenov First Moscow State Medical University)H-Index: 8
view all 8 authors...
Here, we propose a heuristic technique of data trimming for SVM termed FLOating Window Projective Separator (FloWPS), tailored for personalized predictions based on molecular data. This procedure can operate with high throughput genetic datasets like gene expression or mutation profiles. Its application prevents SVM from extrapolation by excluding non-informative features. FloWPS requires training on the data for the individuals with known clinical outcomes to create a clinically-relevant classi...
3 CitationsSource
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