https://github.com/maayanlab/sep-l1000
Website for visualizing predicted drug side-effects using L1000 data (http://maayanlab.net/SEP-L1000/)
https://github.com/maayanlab/sep-l1000
Last synced: 5 months ago
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Website for visualizing predicted drug side-effects using L1000 data (http://maayanlab.net/SEP-L1000/)
- Host: GitHub
- URL: https://github.com/maayanlab/sep-l1000
- Owner: MaayanLab
- Created: 2016-01-25T12:25:37.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2022-04-15T17:49:36.000Z (about 3 years ago)
- Last Synced: 2023-10-20T21:24:14.430Z (over 1 year ago)
- Language: JavaScript
- Size: 31.5 MB
- Stars: 10
- Watchers: 6
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Side effect prediction based on L1000 data
This web portal is made to serve the adverse event predictions for the >20,000 LINCS compounds.
## About
On the home page, a network of predictive ADRs was constructed based on their drug similarity and visualized using a stacked bubble chart. Each drug and ADR has a dedicated page with a list of the relevant predictions and external links to sites such as: [PubChem](https://pubchem.ncbi.nlm.nih.gov/), [lincscloud.org](lincscloud.org), LINCS Information Framework([LIFE](http://life.ccs.miami.edu/life/)) and [SIDER](http://sideeffects.embl.de/).
## Publication
[Drug Induced Adverse Events Prediction with the LINCS L1000 Data.](http://bioinformatics.oxfordjournals.org/content/early/2016/04/01/bioinformatics.btw168.short)
Wang Z, Clark NR, Ma'ayan A. _Bioinformatics_ 2016