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.

Required Skill Assessments

Machine Learning in Python

Python for Data Science

Python Programming