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Heather Selby
Heather Selby
Verified email at stanford.edu
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Year
PharmacoGx: an R package for analysis of large pharmacogenomic datasets
P Smirnov, Z Safikhani, N El-Hachem, D Wang, A She, C Olsen, ...
Bioinformatics 32 (8), 1244-1246, 2016
2652016
Identification of Predictive Markers of Response to the MEK1/2 Inhibitor Selumetinib (AZD6244) in K-ras–Mutated Colorectal Cancer
JJ Tentler, S Nallapareddy, AC Tan, A Spreafico, TM Pitts, MP Morelli, ...
Molecular cancer therapeutics 9 (12), 3351-3362, 2010
922010
Rational combination of a MEK inhibitor, selumetinib, and the Wnt/calcium pathway modulator, cyclosporin A, in preclinical models of colorectal cancer
A Spreafico, JJ Tentler, TM Pitts, AC Tan, MA Gregory, JJ Arcaroli, ...
Clinical Cancer Research 19 (15), 4149-4162, 2013
762013
BatchQC: interactive software for evaluating sample and batch effects in genomic data
S Manimaran, HM Selby, K Okrah, C Ruberman, JT Leek, J Quackenbush, ...
Bioinformatics 32 (24), 3836-3838, 2016
652016
Overcoming IGF1R/IR resistance through inhibition of MEK signaling in colorectal cancer models
SA Flanigan, TM Pitts, TP Newton, GN Kulikowski, AC Tan, MC McManus, ...
Clinical cancer research 19 (22), 6219-6229, 2013
622013
A meta-learning approach for genomic survival analysis
YL Qiu, H Zheng, A Devos, H Selby, O Gevaert
Nature communications 11 (1), 6350, 2020
562020
Predictive biomarkers of sensitivity to the aurora and angiogenic kinase inhibitor ENMD-2076 in preclinical breast cancer models
JR Diamond, SG Eckhardt, AC Tan, TP Newton, HM Selby, KL Brunkow, ...
Clinical Cancer Research 19 (1), 291-303, 2013
532013
Association of the epithelial-to-mesenchymal transition phenotype with responsiveness to the p21-activated kinase inhibitor, PF-3758309, in colon cancer models
TM Pitts, GN Kulikowski, AC Tan, BW Murray, JJ Arcaroli, JJ Tentler, ...
Frontiers in pharmacology 4, 35, 2013
442013
A survey of statistical software for analysing RNA-seq data
D Gao, J Kim, H Kim, TL Phang, H Selby, AC Tan, T Tong
Human genomics 5, 1-5, 2010
402010
A short survey of computational analysis methods in analysing ChIP-seq data
H Kim, J Kim, H Selby, D Gao, T Tong, T Lip Phang, A Choon Tan
Human genomics 5, 1-7, 2011
372011
Antitumor activity of the MEK inhibitor TAK-733 against melanoma cell lines and patient-derived tumor explants
LN Micel, JJ Tentler, AC Tan, HM Selby, KL Brunkow, KM Robertson, ...
Molecular cancer therapeutics 14 (2), 317-325, 2015
312015
Utilization of quantitative in vivo pharmacology approaches to assess combination effects of everolimus and irinotecan in mouse xenograft models of colorectal cancer
EL Bradshaw-Pierce, TM Pitts, G Kulikowski, H Selby, AL Merz, ...
PloS one 8 (3), e58089, 2013
312013
Antitumor activity of the aurora a selective kinase inhibitor, alisertib, against preclinical models of colorectal cancer
TM Pitts, EL Bradshaw, SM Bagby, SL Hyatt, HM Selby, A Spreafico, ...
Oncotarget 7 (31), 50290, 2016
282016
Targeting the protein ubiquitination machinery in melanoma by the NEDD8-activating enzyme inhibitor pevonedistat (MLN4924)
KM Wong, LN Micel, HM Selby, AC Tan, TM Pitts, SM Bagby, A Spreafico, ...
Investigational new drugs 35, 11-25, 2017
252017
Combined inhibition of MEK and Aurora A kinase in KRAS/PIK3CA double-mutant colorectal cancer models
SL Davis, KM Robertson, TM Pitts, JJ Tentler, EL Bradshaw-Pierce, ...
Frontiers in pharmacology 6, 120, 2015
242015
Rational design and identification of immuno-oncology drug combinations
MAJ Iafolla, H Selby, K Warner, PS Ohashi, B Haibe-Kains, LL Siu
European Journal of Cancer 95, 38-51, 2018
152018
Antitumor activity of the polo-like kinase inhibitor, TAK-960, against preclinical models of colorectal cancer
PJ Klauck, SM Bagby, A Capasso, EL Bradshaw-Pierce, HM Selby, ...
BMC cancer 18, 1-12, 2018
142018
Antitumor activity of a potent MEK inhibitor, TAK-733, against colorectal cancer cell lines and patient derived xenografts
CH Lieu, PJ Klauck, PK Henthorn, JJ Tentler, AC Tan, A Spreafico, ...
Oncotarget 6 (33), 34561, 2015
132015
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction
R Vandaele, P Mukherjee, HM Selby, RP Shah, O Gevaert
Patterns 4 (1), 2023
82023
Machine learning radiomics model for early identification of small-cell lung cancer on computed tomography scans
RP Shah, HM Selby, P Mukherjee, S Verma, P Xie, Q Xu, M Das, S Malik, ...
JCO Clinical Cancer Informatics 5, 746-757, 2021
62021
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