Author

F. Farshidfar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

C. Stretch· 2 shared O. F. Bathe· 2 shared A. Bacchiocchi· 1 shared A. Budan· 1 shared A. Harvey· 1 shared A. M. Newman· 1 shared A. Siddiqui· 1 shared C. Levovitz· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersCancer Biology

C. Stretch

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A Clinically Useful and Biologically Informative Genomic Classifier for Papillary Thyroid Cancer

S. Craig, C. Stretch, F. Farshidfar, D. Sheka, N. Alabi, A. Siddiqui, K. Kopciuk, Y. J. Park, M. Khalil, F. M. Khan, A. Harvey, O. F. Bathe

The paper develops a genomic classifier for papillary thyroid cancer using machine learning, identifying molecular subtypes with distinct prognostic and therapeutic implications.

Frontiers in Endocrinology · Sep 12, 2023Peer-reviewedCancer Biology

Integrative molecular and clinical profiling of acral melanoma identifies LZTR1 as a key tumor promoter and therapeutic target

F. Farshidfar, C. Peng, C. Levovitz, J. Knight, A. Bacchiocchi, J. Su, K. Rhrissorrakrai, M. Yin, M. Sznol, S. Ariyan, J. Clune, K. Olino, L. Parida, J. Nikolaus, M. Zhang, , R. M. Halaban

bioRxiv · Apr 20, 2021 · PreprintCancer Biology

Deep Learning Predicts Patterns of Cardiotoxicity in a High-Content Screen Using Induced Pluripotent Stem Cell-Derived Cardiomyocytes

F. Grafton, J. Ho, S. Ranjbarvaziri, F. Farshidfar, A. Budan, S. Steltzer, M. Maddah, K. E. Loewke, K. Green, S. Patel, T. Hoey, M. A. Mandegar

This paper uses deep learning and high-content screening of iPSC-derived cardiomyocytes to predict cardiotoxicity patterns in 1280 compounds and identify cardiotoxic chemical frameworks.

bioRxiv · Mar 23, 2021Cell Biology

Germline genetic contribution to the immune landscape of cancer

R. W. Sayaman, M. Saad, V. Thorsson, W. Hendrickx, J. Roelands, Y. Mokrab, F. Farshidfar, T. Kirchhoff, R. F. Sweis, O. F. Bathe, E. Porta-Pardo, M. J. Campbell, C. Stretch, D. Hu, S. Huntsman, , D. Bedognetti

This study identifies germline genetic variants associated with immune traits in cancer, revealing their impact on the tumor immune microenvironment.

bioRxiv · Jan 30, 2020Immunology