There are 4 repositories under life-sciences topic.
Metadata and website for the Open Bio Ontologies Foundry Ontology Registry
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
OLS website: web presence and knowledge management for we-are-ols.org
Collection of cloud-based biomedical data science learning modules funded by the National Institute of General Medical Sciences at the NIH
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
Bioconductor data science introduction
Code repository for the book "Python for the Life Sciences" by Lancaster & Webster
A user interface for the hyperspy package. https://hyperspy.org/hyperspyUI
This guidance creates a scalable environment in AWS to prepare genomic, clinical, mutation, expression and imaging data for large-scale analysis and perform interactive queries against a data lake. The solution also demonstrates the use of Amazon Omics for multi-modal analysis.
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
Introduction to the Bioconductor project
R package to run Bayesian MMRMs using {brms}
A collection of functional and scientific icons for EMBL-EBI sites.
Workshop on Deep Learning for Health and Life Sciences
R/Pharma 2023 workshop example code: leveraging {targets} and {crew} to simulate clinical trials
Data Processing and Visualization for Metagenomics
Deep Origin CLI and Python client
FAIR in (biological) practice
Python-based GA4GH Beacon API Server
A web-based life science omics and imaging data management solution
R/Pharma 2023 workshop: leveraging {targets} and {crew} to simulate clinical trials
This workshop outlines a machine-learning cell segmentation architecture from scratch for the life-sciences vertical, using Amazon SageMaker, S3, Lambda and SageMaker Inference endpoints
repository for a question corpus for the biodiversity domain, scripts for analyzing metadata in data repositories
Salesforce Health Cloud Virtual Care AWS Partner Solution
Life Sciences Workshop
StatAid is a Shiny app built in an R package to guide researchers and clinicians through data analysis
Top Life Sciences open-source software
Semantic Search Extension for Dataset Search UI [Dai:Si]
eXSpy Jupyter Notebook demos
A federated GraphQL services example
Slides and source code for a talk about drake at R/Medicine 2020.