User profiles for Z. Safikhani
Zhaleh SafikhaniPost doctoral fellow Verified email at utoronto.ca Cited by 1365 |
[HTML][HTML] Machine learning approaches to drug response prediction: challenges and recent progress
Cancer is a leading cause of death worldwide. Identifying the best treatment using computational
models to personalize drug response prediction holds great promise to improve patient’…
models to personalize drug response prediction holds great promise to improve patient’…
PharmacoGx: an R package for analysis of large pharmacogenomic datasets
Pharmacogenomics holds great promise for the development of biomarkers of drug response
and the design of new therapeutic options, which are key challenges in precision medicine…
and the design of new therapeutic options, which are key challenges in precision medicine…
Public data and open source tools for multi-assay genomic investigation of disease
Molecular interrogation of a biological sample through DNA sequencing, RNA and microRNA
profiling, proteomics and other assays, has the potential to provide a systems level …
profiling, proteomics and other assays, has the potential to provide a systems level …
PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies
Recent cancer pharmacogenomic studies profiled large panels of cell lines against hundreds
of approved drugs and experimental chemical compounds. The overarching goal of these …
of approved drugs and experimental chemical compounds. The overarching goal of these …
[HTML][HTML] Revisiting inconsistency in large pharmacogenomic studies
In 2013, we published a comparative analysis of mutation and gene expression profiles and
drug sensitivity measurements for 15 drugs characterized in the 471 cancer cell lines …
drug sensitivity measurements for 15 drugs characterized in the 471 cancer cell lines …
Consensus on molecular subtypes of high-grade serous ovarian carcinoma
…, L Kannan, L Geistlinger, V Kofia, Z Safikhani… - Clinical Cancer …, 2018 - AACR
… Zhaleh Safikhani … Z. Safikhani was supported by The Cancer Research Society (Canada).
G. Parmigiani was supported by The National Cancer Institute 5P30CA006516-53. …
G. Parmigiani was supported by The National Cancer Institute 5P30CA006516-53. …
Disruption of the anaphase-promoting complex confers resistance to TTK inhibitors in triple-negative breast cancer
TTK protein kinase (TTK), also known as Monopolar spindle 1 (MPS1), is a key regulator of
the spindle assembly checkpoint (SAC), which functions to maintain genomic integrity. TTK …
the spindle assembly checkpoint (SAC), which functions to maintain genomic integrity. TTK …
[HTML][HTML] Gene isoforms as expression-based biomarkers predictive of drug response in vitro
Next-generation sequencing technologies have recently been used in pharmacogenomic
studies to characterize large panels of cancer cell lines at the genomic and transcriptomic …
studies to characterize large panels of cancer cell lines at the genomic and transcriptomic …
Integrative cancer pharmacogenomics to infer large-scale drug taxonomy
… We relied on the Z-score and area under the curve (AUC d ) metrics from drug dose–response
curves of the NCI60 and CTRPv2, respectively. Drug similarity was defined as the …
curves of the NCI60 and CTRPv2, respectively. Drug similarity was defined as the …
[PDF][PDF] Assessment of genetic drift in large pharmacogenomic studies
…, D Tkachuk, C Ho, N El-Hachem, Z Safikhani… - Cell systems, 2020 - cell.com
… for each segmented region and used this value to draw a z-score threshold of ±4 to classify
a region … Finally, we used a z-score threshold of ±2 to classify a region as significantly drifted. …
a region … Finally, we used a z-score threshold of ±2 to classify a region as significantly drifted. …