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Meta-analysis of ChIP-seq Datasets through the Rank Aggregation Approach

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Кафедра естественных наук СУНЦ

DOI

https://doi.org/10.1109/CSGB51356.2020.9214614
Final published version

Semyon K. Kolmykov
Yury V. Kondrakhin
Ruslan N. Sharipov
Ivan S. Yevshi
Anna S. Ryabova
Fedor A. Kolpakov

Original language	English
Title of host publication	Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	180-184
Number of pages	5
ISBN (Electronic)	9781728195971
DOIs	https://doi.org/10.1109/CSGB51356.2020.9214614
Publication status	Published - Jul 2020
Event	2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 - Novosibirsk, Russian Federation Duration: 6 Jul 2020 → 10 Jul 2020

Publication series

Name	Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

Conference

Conference	2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
Country/Territory	Russian Federation
City	Novosibirsk
Period	06.07.2020 → 10.07.2020

Research areas

ChIP-seq, GTRD database, Meta-analysis, normal mixture, rank aggregation approach, transcription factor binding sites

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES
1.06 BIOLOGICAL SCIENCES
3.03 HEALTH SCIENCES
5.09 OTHER SOCIAL SCIENCES

ID: 25999554