geneexpressionpolito/Predicting-gene-expression-levels-from-DNA-sequences-and-post-transcriptional-info-with-transformers
Transformers for gene expression prediction from raw dna sequences
This project helps molecular biologists and geneticists predict how much a gene will be expressed. By inputting raw DNA sequences and related post-transcriptional information like microRNA or transcription factor data, it outputs estimated gene expression levels. Researchers studying gene regulation and function are the primary users.
No commits in the last 6 months.
Use this if you need to predict gene expression from DNA sequences and supplementary biological data to understand gene function or disease mechanisms.
Not ideal if you're looking for a tool to analyze protein structures or perform generalized genomic sequence alignment, as it's specifically focused on gene expression prediction.
Stars
16
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 29, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/geneexpressionpolito/Predicting-gene-expression-levels-from-DNA-sequences-and-post-transcriptional-info-with-transformers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lucidrains/alphagenome
Implementation of AlphaGenome, Deepmind's updated genomic attention model
BiomedSciAI/biomed-multi-omic
Build foundation model for RNA or DNA data
BioinfoMachineLearning/DeepInteract
A geometric deep learning framework (Geometric Transformers) for predicting protein interface...
Gleghorn-Lab/Protify
Low code molecular property prediction
raimondilab/precogx
A predictor of GPCR couplings with G-proteins/B-arrs using Transformers