메뉴 건너뛰기




Volumn 32, Issue 8, 2016, Pages 1244-1246

PharmacoGx: An R package for analysis of large pharmacogenomic datasets

(15)  Smirnov, Petr a   Safikhani, Zhaleh a,b   El Hachem, Nehme c   Wang, Dong a   She, Adrian a   Olsen, Catharina a,d,e   Freeman, Mark a   Selby, Heather f,g   Gendoo, Deena M A a,b   Grossmann, Patrick f   Beck, Andrew H h   Aerts, Hugo J W L f   Lupien, Mathieu a,b,i   Goldenberg, Anna j,k   Haibe Kains, Benjamin a,b  


Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER LANGUAGE; GENOMICS; HUMAN; NEOPLASM; PHARMACOGENETICS; SOFTWARE;

EID: 84966550886     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv723     Document Type: Article
Times cited : (191)

References (9)
  • 1
    • 84859169877 scopus 로고    scopus 로고
    • The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
    • Barretina, J. et al. (2012) The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature, 483, 603-607.
    • (2012) Nature , vol.483 , pp. 603-607
    • Barretina, J.1
  • 2
    • 84891352904 scopus 로고    scopus 로고
    • Assessing compound carcinogenicity in vitro using connectivity mapping
    • Caiment, F. et al. (2013) Assessing compound carcinogenicity in vitro using connectivity mapping. Carcinogenesis, 35, 201-207.
    • (2013) Carcinogenesis , vol.35 , pp. 201-207
    • Caiment, F.1
  • 3
    • 29144535372 scopus 로고    scopus 로고
    • Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
    • Dai, M. et al. (2005) Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data. Nucleic Acids Res., 33, e175.
    • (2005) Nucleic Acids Res. , vol.33 , pp. e175
    • Dai, M.1
  • 4
    • 84859187259 scopus 로고    scopus 로고
    • Systematic identification of genomic markers of drug sensitivity in cancer cells
    • Garnett, M.J. et al. (2012) Systematic identification of genomic markers of drug sensitivity in cancer cells. Nature, 483, 570-575.
    • (2012) Nature , vol.483 , pp. 570-575
    • Garnett, M.J.1
  • 5
    • 0042905956 scopus 로고    scopus 로고
    • Gene expression profiling of multiple histone deacetylase (HDAC) inhibitors: Defining a common gene set produced by HDAC inhibition in T24 and MDA carcinoma cell lines
    • Glaser, K.B. et al. (2003) Gene expression profiling of multiple histone deacetylase (HDAC) inhibitors: defining a common gene set produced by HDAC inhibition in T24 and MDA carcinoma cell lines. Mol. Cancer Therap., 2, 151-163.
    • (2003) Mol. Cancer Therap. , vol.2 , pp. 151-163
    • Glaser, K.B.1
  • 6
    • 84890553061 scopus 로고    scopus 로고
    • Inconsistency in large pharmacogenomic studies
    • Haibe-Kains, B. et al. (2013) Inconsistency in large pharmacogenomic studies. Nature, 504, 389-393.
    • (2013) Nature , vol.504 , pp. 389-393
    • Haibe-Kains, B.1
  • 7
    • 84905454959 scopus 로고    scopus 로고
    • Enhancing reproducibility in cancer drug screening: How do we move forward
    • Hatzis, C. et al. (2014) Enhancing reproducibility in cancer drug screening: how do we move forward? Cancer Res., 74, 4016-4023.
    • (2014) Cancer Res. , vol.74 , pp. 4016-4023
    • Hatzis, C.1
  • 8
    • 33749335282 scopus 로고    scopus 로고
    • The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease
    • Lamb, J. et al. (2006) The connectivity map: using gene-expression signatures to connect small molecules, genes, and disease. Science, 313, 1929-1935.
    • (2006) Science , vol.313 , pp. 1929-1935
    • Lamb, J.1
  • 9
    • 84867338003 scopus 로고    scopus 로고
    • Discovery and preclinical validation of drug indications using compendia of public gene expression data
    • Sirota, M. et al. (2011) Discovery and preclinical validation of drug indications using compendia of public gene expression data. Sci. Transl. Med., 3, 9677-9677.
    • (2011) Sci. Transl. Med. , vol.3 , pp. 9677
    • Sirota, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.