life-sciences
There are 81 repositories under life-sciences topic.
hyperspy/hyperspy
Multidimensional data analysis
OBOFoundry/OBOFoundry.github.io
Metadata and website for the Open Bio Ontologies Foundry Ontology Registry
futianfan/clinical-trial-outcome-prediction
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
open-life-science/open-life-science.github.io
OLS website: web presence and knowledge management for we-are-ols.org
NIGMS/NIGMS-Sandbox
Collection of cloud-based biomedical data science learning modules funded by the National Institute of General Medical Sciences at the NIH
servierhub/top-pharma50
Top open source software from the top 50 pharmaceutical companies
chupvl/awesome-ls-ventures
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
amberbiology/py4lifesci
Code repository for the book "Python for the Life Sciences" by Lancaster & Webster
carpentries-incubator/bioc-intro
Bioconductor data science introduction
hyperspy/hyperspyUI
A user interface for the hyperspy package. https://hyperspy.org/hyperspyUI
awslabs/guidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-aws
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.
STRIDES/NIHCloudLabGCP
Documentation and tutorials on using GCP for biomedical research
carpentries-incubator/bioc-rnaseq
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
openpharma/brms.mmrm
R package to run Bayesian MMRMs using {brms}
carpentries-incubator/bioc-project
Introduction to the Bioconductor project
ebiwd/EBI-Icon-fonts
A collection of functional and scientific icons for EMBL-EBI sites.
leriomaggio/deep-learning-health-life-sciences
Workshop on Deep Learning for Health and Life Sciences
STRIDES/NIHCloudLabAWS
Documentation and tutorials on using AWS for biomedical research
carpentries-lab/metagenomics-analysis
Data Processing and Visualization for Metagenomics
wlandau/rpharma2023-pipeline
R/Pharma 2023 workshop example code: leveraging {targets} and {crew} to simulate clinical trials
deeporiginbio/deeporigin-client
Deep Origin CLI and Python client
carpentries-incubator/fair-bio-practice
FAIR in (biological) practice
CSCfi/beacon-python
Python-based GA4GH Beacon API Server
qbicsoftware/data-manager-app
A web-based life science omics and imaging data management solution
servierhub/top-life-sciences
Top Life Sciences open-source software
wlandau/rpharma2023
R/Pharma 2023 workshop: leveraging {targets} and {crew} to simulate clinical trials
aws-samples/amazon-sagemaker-cell-segmentation-workshop
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
fusion-jena/QuestionsMetadataBiodiv
repository for a question corpus for the biodiversity domain, scripts for analyzing metadata in data repositories
VincentAlcazer/StatAid
StatAid is a Shiny app built in an R package to guide researchers and clinicians through data analysis
aws-quickstart/quickstart-salesforce-health-cloud-virtual-care
Salesforce Health Cloud Virtual Care AWS Partner Solution
bridgedb/BridgeDbR
Bioconductor R package for BridgeDb
bridgedb/datasources
Repository with the BridgeDb data source.
carpentries-incubator/life-sciences-workshop
Life Sciences Workshop
ELIXIR-Norway-Training/DMP-writing-workshop
Teaching material for DMP writing course
hyperspy/exspy-demos
eXSpy Jupyter Notebook demos