Hoffman research group
- Michael M. Hoffman
- Scientist (principal investigator)
- Research
- Princess Margaret Cancer Centre
- University Health Network
- Assistant Professor (status-only)
- Computational Biology Group
- Department of Computer Science
- University of Toronto
We develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.
Publications
Software
- Segway: semi-automated genomic annotation
- Segtools: segmentation analysis and graphics
- Genomedata: efficient storage and retrieval
Databases
- DNAmod: the DNA modification database
Join the lab
People
- Michael Hoffman
- Davide Chicco
- Eric Roberts
- Coby Viner
- Mehran Karimzadeh
- Jai Sood
- Mickael Mendez
- Rachel Chan
- Danielle Denisko
- Francis Nguyen
- Chang Cao
- Lee Zamparo
- Samantha Wilson
- Marc Asenjo
- Winnie Xu
- Matthew McNeil
- Flora (Yufang) Liu
News
- 2018-09-08: Davide is an organizer of the special session "Machine learning in health informatics and biological systems" at the 15th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2018).
- 2018-08-10: Mehran was awarded an Ontario Graduate Scholarship.
- 2018-07-31: Michael is a session organizer, speaker, and chair at the 2018 Joint Statistical Meetings in Vancouver, British Columbia, Canada. His talk covers: "Inference of transcription factor binding sites in new cell types from open chromatin and gene expression data".
- 2018-07-25: Michael is an invited speaker at BioC 2018 in Toronto, Ontario.
- 2018-07-10: Danielle was awarded an Ontario Graduate Scholarship.
- 2018-07-04: Francis is a co-author on "Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities", a preprint on arXiv Quantitative Biology.
- News archive
Contact
- Twitter: @michaelhoffman
- LinkedIn: michaelmhoffman