10 Repositories
Python screening Libraries
scAR (single-cell Ambient Remover) is a package for data denoising in single-cell omics.
scAR scAR (single cell Ambient Remover) is a package for denoising multiple single cell omics data. It can be used for multiple tasks, such as, sgRNA
19 Nov 28, 2022
Ontario-Covid-Screening - An automated Covid-19 School Screening Tool for Ontario
Ontario-Covid19-Screening An automated Covid-19 School Screening Tool for Ontari
0 Feb 20, 2022
Ontario-Covid19-Screening - An automated Covid-19 School Screening Tool for Ontario
Ontario-Covid19-Screening An automated Covid-19 School Screening Tool for Ontari
0 Feb 20, 2022
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Shield: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Deep Learning to Improve Breast
305 Jan 3, 2023
A pythonic interface to high-throughput virtual screening software
pyscreener A pythonic interface to high-throughput virtual screening software Overview This repository contains the source of pyscreener, both a libra
56 Dec 15, 2022
Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"
Tempo: Optimizing risk-based breast cancer screening policies with reinforcement learning Introduction This repository was used to develop Tempo, as d
12 Oct 11, 2022
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Update (September 18th, 2021) A supporting document de
1 Mar 16, 2022
A central task in drug discovery is searching, screening, and organizing large chemical databases
A central task in drug discovery is searching, screening, and organizing large chemical databases. Here, we implement clustering on molecular similarity. We support multiple methods to provide a interactive exploration of chemical space.
124 Jan 7, 2023
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee
75 Dec 15, 2022
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Introduction This is an implementation of the model used for breast
757 Dec 30, 2022