HI-ML OSS toolbox
Open-source tools to help simplify deep learning models for healthcare and life sciences The Health Intelligence Machine Learning (HI-ML) OSS toolbox helps to simplify and streamline work on deep learning models for healthcare and life…
Aurora
Eliminating cardiovascular surprises by combining novel sensing techniques, wearable design, signal processing, and machine learning.
Reverse Homology
Intrinsically disordered regions (IDRs) are widespread in proteins, making up around 40% of the human proteome, and carry out critical functions in signaling, protein-protein interactions, phase separation, and more. Despite their critical role in protein function…
Microsoft Health Intelligence Azure Machine Learning Toolbox
This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by…
Biomedical Computing
Accelerating the digital transformation of precision health by developing new technologies to understand the biology behind biomedical data.
BindVAE
Source code of BindVAE paper on Variational Auto Encoders for learning binding signatures of transcription factors. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02723-w