Arjun Krishnan
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compbiologist.bsky.social
Arjun Krishnan
@compbiologist.bsky.social
1K followers 160 following 20 posts
ML/AI methods & tools for using massive public data collections to gain insights into complex disease mechanisms.

Associate Professor & Group leader thekrishnanlab.org at the Dept. of Biomedical Informatics at CU Anschutz.
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compbiologist.bsky.social
[1st post!]

Checkout this comprehensive review & perspective on the "Current and future directions in network biology"
arxiv.org/abs/2309.08478.

A bunch of us got to lead the section on "Machine learning on networks".

Kudos to the whole community and to Dr. Tijana Milenković for the leadership!
Graphical abstract of the review article that pictorially summarizes the five major themes: 1) Network inference and comparison, 2) Multimodal data integration and heterogeneous networks, 3) Higher-order network analysis, 4) Machine learning on networks, and 5) Network-based personalized medicine. Graphical abstract of the section on "Machine learning on networks". The box on the top left shows the overall workflow of approaches in this area, beginning from the biological network that using a machine learning model, is able to generate learned representations of various elements in the network. The box on the top right describes three additional idea: building generative models, transfer learning, and application to downstream tasks. The final box at the bottom shows two important foci of work in this area: i) benchmarking and ii) explainability and uncertainty quantification.
September 21, 2023 at 2:07 PM