Search Results for author:
Found 7 papers, 6 papers with code
Causal machine learning for single-cell genomics
Advances in single-cell omics allow for unprecedented insights into the transcription profiles of individual cells.
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro
For large libraries of small molecules, exhaustive combinatorial chemical screens become infeasible to perform when considering a range of disease models, assay conditions, and dose ranges.
TorchXRayVision: A library of chest X-ray datasets and models
TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models.
DEUP: Direct Epistemic Uncertainty Prediction
Epistemic Uncertainty is a measure of the lack of knowledge of a learner which diminishes with more evidence.
Is graph-based feature selection of genes better than random?
Gene interaction graphs aim to capture various relationships between genes and represent decades of biology research.
Analysis of Gene Interaction Graphs as Prior Knowledge for Machine Learning Models
Gene interaction graphs aim to capture various relationships between genes and can represent decades of biology research.
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System
In order to bridge the gap between Deep Learning researchers and medical professionals we develop a very accessible free prototype system which can be used by medical professionals to understand the reality of Deep Learning tools for chest X-ray diagnostics.
