Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose-response data

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
JournalBioinformatics
Volume31
Issue number23
Pages (from-to)3815-3821
Number of pages7
ISSN1367-4803
DOIs
Publication statusPublished - 1 Dec 2015
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 3111 Biomedicine

Cite this

@article{896a764415194d299cd4a735947f167f,
title = "Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose-response data",
keywords = "3111 Biomedicine",
author = "John-Patrick Mpindi and Swapnil Potdar and Dmitrii Bychkov and Jani Saarela and Khalid Saeed and Krister Wennerberg and Tero Aittokallio and P{\"a}ivi {\"O}stling and Olli Kallioniemi",
year = "2015",
month = "12",
day = "1",
doi = "10.1093/bioinformatics/btv455",
language = "English",
volume = "31",
pages = "3815--3821",
journal = "Bioinformatics",
issn = "1367-4803",
publisher = "Oxford University Press",
number = "23",

}

TY - JOUR

T1 - Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose-response data

AU - Mpindi, John-Patrick

AU - Potdar, Swapnil

AU - Bychkov, Dmitrii

AU - Saarela, Jani

AU - Saeed, Khalid

AU - Wennerberg, Krister

AU - Aittokallio, Tero

AU - Östling, Päivi

AU - Kallioniemi, Olli

PY - 2015/12/1

Y1 - 2015/12/1

KW - 3111 Biomedicine

U2 - 10.1093/bioinformatics/btv455

DO - 10.1093/bioinformatics/btv455

M3 - Article

VL - 31

SP - 3815

EP - 3821

JO - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

IS - 23

ER -