FakeEnd / iDNA_ABFLinks
python codes for iDNA-ABF: multi-scale deep biological language learning model for the accurate and interpretable prediction of DNA methylations
☆15Updated last year
Alternatives and similar repositories for iDNA_ABF
Users that are interested in iDNA_ABF are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆24Updated last year
- ☆23Updated last year
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆37Updated 2 weeks ago
- Computational Optimization of DNA Activity (CODA)☆60Updated 3 months ago
- ☆18Updated last year
- ☆17Updated 8 months ago
- Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …☆33Updated 3 months ago
- Jigsaw-like AggMap: A Robust and Explainable Multi-Channel Omics Deep Learning Tool☆36Updated last year
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆15Updated 9 months ago
- ☆35Updated 2 months ago
- BertSNR: an interpretable deep learning framework for single nucleotide resolution identification of transcription factor binding sites b…☆12Updated last month
- Scripts for building computational models of gene regulation with tensorflow☆10Updated 5 years ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- surrogate quantitative interpretability for deepnets☆23Updated last month
- Generalizable AI predicts immunotherapy outcomes across cancers and treatments☆36Updated last week
- code to run EPInformer for gene expression prediction and gene-enhancer links prioritization☆43Updated 7 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 9 months ago
- HLA-II ligand predictor.☆44Updated 2 years ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆28Updated 11 months ago
- Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"☆15Updated 4 years ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆26Updated 3 weeks ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆36Updated last year
- ☆62Updated 3 weeks ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆19Updated 3 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- GraphProt: modelling binding preferences of RNA-binding proteins☆21Updated 7 years ago
- ☆14Updated 2 years ago
- ☆13Updated 5 months ago
- ☆25Updated last month