An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

Gayathri Thillaiyampalam, Fabio Liberante, Liam Murray, Chris Cardwell, Ken Mills, Shu-Dong Zhang

Research output: Contribution to journalArticle

2 Citations (Scopus)
LanguageEnglish
JournalBMC Bioinformatics
Volume18
Issue number1
DOIs
Publication statusPublished - 21 Dec 2017

Keywords

  • Connectivity mapping
  • Differentially expressed genes
  • Gene signature progression
  • Disease inhibitory compounds
  • Breast cancer

Cite this

Thillaiyampalam, Gayathri ; Liberante, Fabio ; Murray, Liam ; Cardwell, Chris ; Mills, Ken ; Zhang, Shu-Dong. / An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping. In: BMC Bioinformatics. 2017 ; Vol. 18, No. 1.
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An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping. / Thillaiyampalam, Gayathri; Liberante, Fabio; Murray, Liam; Cardwell, Chris; Mills, Ken; Zhang, Shu-Dong.

In: BMC Bioinformatics, Vol. 18, No. 1, 21.12.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

AU - Thillaiyampalam, Gayathri

AU - Liberante, Fabio

AU - Murray, Liam

AU - Cardwell, Chris

AU - Mills, Ken

AU - Zhang, Shu-Dong

PY - 2017/12/21

Y1 - 2017/12/21

KW - Connectivity mapping

KW - Differentially expressed genes

KW - Gene signature progression

KW - Disease inhibitory compounds

KW - Breast cancer

U2 - 10.1186/s12859-017-1989-x

DO - 10.1186/s12859-017-1989-x

M3 - Article

VL - 18

JO - BMC Bioinformatics

T2 - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

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ER -