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Cancer to Normal Transformer
Active:
false
Description
This study is taking a multi-pronged machine-learning-focused approach to characterizing the relationship between cancers and normal tissues. It is oriented towards both bioinformatics and machine learning heavily.
R, Python
Machine Learning, Software development, Data Integration, scRNA-Seq
Project Stage
Middle
Avg. Hours / Week
6
Project Provider
Alex Bishop, D.Phil.
Commitment (Months)
6
Spots Open
0
Project Lead
Matthew Bernstein & Henry Miller
Publication if successful?
Yes
Trainee authorship criteria (if applicable)
Trainees who contribute meaningfully to the project will be listed as co-authors. E.g., performing an entire core analysis or developing a core component of project software.
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