Author

C. Suk-Yee Hon

University of TorontoORCID 0000-0002-7402-0843Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anthony Mammoliti· 1 shared Arvind Singh MeriD· 1 shared Benjamin Haibe‐KainsiD· 1 shared Hossein Sharifi-NoghabiiD· 1 shared Martin EsteriD· 1 shared Petr SmirnoviD· 1 shared Sisira Kadambat NairiD· 1 shared Soheil JahangiriiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Anthony Mammoliti

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning Models

Hossein Sharifi-Noghabi, Soheil Jahangiri, Petr Smirnov, C. Suk-Yee Hon, Anthony Mammoliti, Sisira Kadambat Nair, Arvind Singh Mer, Martin Ester, Benjamin Haibe‐Kains

This paper provides guidelines for developing machine learning models to predict drug sensitivity using cell line-based pharmacogenomics data, emphasizing proper training and validation practices.

Briefings in Bioinformatics · Jul 12, 2021Peer-reviewedBioinformatics