Multidimensional data analysis
-
Updated
Nov 25, 2024 - Python
Multidimensional data analysis
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
Top open source software from the top 50 pharmaceutical companies
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
Documentation and tutorials on using GCP for biomedical research
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
Documentation and tutorials on using AWS for biomedical research
R/Pharma 2023 workshop example code: leveraging {targets} and {crew} to simulate clinical trials
Add a description, image, and links to the life-sciences topic page so that developers can more easily learn about it.
To associate your repository with the life-sciences topic, visit your repo's landing page and select "manage topics."