QData / FastSKLinks
Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/
☆21Updated 2 years ago
Alternatives and similar repositories for FastSK
Users that are interested in FastSK are comparing it to the libraries listed below
Sorting:
- A package for making MuE observation models in Edward2.☆13Updated 4 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆82Updated last year
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆42Updated 4 months ago
- Predicting gene expression levels from genomic sequences☆55Updated 5 years ago
- Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …☆35Updated 7 months ago
- Code accompanying the paper "Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively…☆12Updated 4 years ago
- Repository for "NucleoBench: A Large-Scale Benchmark of Neural Nucleic Acid Design Algorithms"☆25Updated last week
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆53Updated 6 years ago
- Jax code for functional genomics ML☆14Updated 8 months ago
- ☆38Updated last year
- Knowledge-primed neural networks☆38Updated 2 years ago
- Dataloader for applying sequence models to personalized genomics☆27Updated last week
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆65Updated 3 years ago
- Genomic sequence preprocessing toolkit☆13Updated 2 weeks ago
- Accompanying repository for GkmExplain paper☆23Updated 5 years ago
- ☆18Updated last year
- A network based gene classification library to generate genome wide predictions about genes that are functionally similar to the input ge…☆20Updated 3 weeks ago
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 3 years ago
- ☆17Updated last month
- Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.☆95Updated 4 months ago
- ☆18Updated last year
- ExplaiNN: interpretable and transparent neural networks for genomics☆49Updated 7 months ago
- Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)☆27Updated 3 years ago
- APA Regression Net - Predict and Engineer Alternative Polyadenylation☆39Updated 4 years ago
- Diverse sampling for single-cell datasets☆16Updated 5 years ago
- Code for "Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning"☆23Updated last year
- RiboNN: predicting translation efficiencies from mRNA sequences☆41Updated last month
- Infer selection pressures on features of amino acid CDR3 sequences.☆24Updated last year
- Toolkit for training hyenaDNA-based autoregressive language models on DNA sequences.☆49Updated last year
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆55Updated 5 months ago