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Zhaleh Safikhani
Zhaleh Safikhani
Post doctoral fellow
Verified email at utoronto.ca
Title
Cited by
Cited by
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
2122016
Machine learning approaches to drug response prediction: challenges and recent progress
G Adam, L Rampášek, Z Safikhani, P Smirnov, B Haibe-Kains, ...
NPJ precision oncology 4 (1), 19, 2020
1422020
PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies
P Smirnov, V Kofia, A Maru, M Freeman, C Ho, N El-Hachem, GA Adam, ...
Nucleic acids research 46 (D1), D994-D1002, 2018
1192018
Revisiting inconsistency in large pharmacogenomic studies
Z Safikhani, M Freeman, P Smirnov, N El-Hachem, A She, R Quevedo, ...
bioRxiv, 026153, 2015
962015
Consistency in drug response profiling: reply
Z Safikhani, N El-Hachem, P Smirnov, M Freeman, A Goldenberg, ...
Nature 540 (7631), E6-E8, 2016
88*2016
Consensus on Molecular Subtypes of High-Grade Serous Ovarian CarcinomaConsensus on Molecular Subtypes of HGSOC
GM Chen, L Kannan, L Geistlinger, V Kofia, Z Safikhani, D Gendoo, ...
Clinical Cancer Research 24 (20), 5037-5047, 2018
722018
Drug response consistency in CCLE and CGP: reply
Z Safikhani, N El-Hachem, P Smirnov, M Freeman, A Goldenberg, ...
Nature 540 (7631), E11-E12, 2016
68*2016
Gene isoforms as expression-based biomarkers predictive of drug response in vitro
Z Safikhani, P Smirnov, KL Thu, J Silvester, N El-Hachem, R Quevedo, ...
Nature Communications 8 (1), 1126, 2017
562017
Abstract: Gene isoforms as expression-based biomarkers predictive of drug response in vitro
Z Safikhani, KL Thu, P Smironov, B Haibe-Kains
Annals of Oncology 28 (suppl_1), 2017
56*2017
Public data and open source tools for multi-assay genomic investigation of disease
L Kannan, M Ramos, A Re, N El-Hachem, Z Safikhani, DMA Gendoo, ...
Briefings in bioinformatics 17 (4), 603-615, 2016
562016
Consistency in large pharmacogenomic studies: reply
Z Safikhani, N El-Hachem, P Smirnov, M Freeman, A Goldenberg, ...
Nature 540 (7631), E2-E4, 2016
55*2016
Disruption of the anaphase-promoting complex confers resistance to TTK inhibitors in triple-negative breast cancer
KL Thu, J Silvester, MJ Elliott, W Ba-Alawi, MH Duncan, AC Elia, AS Mer, ...
Proceedings of the National Academy of Sciences 115 (7), E1570-E1577, 2018
512018
Integrative cancer pharmacogenomics to infer large-scale drug taxonomy
N El-Hachem, DMA Gendoo, LS Ghoraie, Z Safikhani, P Smirnov, ...
Cancer research 77 (11), 3057-3069, 2017
372017
Assessment of pharmacogenomic agreement
Z Safikhani, N El-Hachem, R Quevedo, P Smirnov, A Goldenberg, ...
bioRxiv, 048470, 2016
372016
Tissue specificity of in vitro drug sensitivity
F Yao, SA Madani Tonekaboni, Z Safikhani, P Smirnov, N El-Hachem, ...
Journal of the American Medical Informatics Association 25 (2), 158-166, 2018
202018
SSP: An interval integer linear programming for de novo transcriptome assembly and isoform discovery of RNA-seq reads
Z Safikhani, M Sadeghi, H Pezeshk, C Eslahchi
Genomics 102 (5-6), 507-514, 2013
162013
Assessment of genetic drift in large pharmacogenomic studies
R Quevedo, P Smirnov, D Tkachuk, C Ho, N El-Hachem, Z Safikhani, ...
Cell systems 11 (4), 393-401. e2, 2020
112020
Creating reproducible pharmacogenomic analysis pipelines
A Mammoliti, P Smirnov, Z Safikhani, W Ba-Alawi, B Haibe-Kains
Scientific data 6 (1), 166, 2019
102019
Predicting drug properties with parameter-free machine learning: pareto-optimal embedded modeling (POEM)
AE Brereton, S MacKinnon, Z Safikhani, S Reeves, S Alwash, V Shahani, ...
Machine Learning: Science and Technology 1 (2), 025008, 2020
72020
Consensus on molecular subtypes of ovarian cancer
GM Chen, L Kannan, L Geistlinger, V Kofia, Z Safikhani, DMA Gendoo, ...
bioRxiv, 162685, 2017
72017
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Articles 1–20