kipoi / modelsLinks
Model zoo for genomics
☆173Updated last month
Alternatives and similar repositories for models
Users that are interested in models are comparing it to the libraries listed below
Sorting:
- Kipoi's model zoo API☆240Updated last month
- Deep learning infrastructure for genomics☆257Updated 4 years ago
- pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks☆86Updated 6 years ago
- TF MOtif Discovery from Importance SCOres☆163Updated last month
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆83Updated last year
- Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them☆174Updated 3 months ago
- a framework for training sequence-level deep learning networks☆397Updated last year
- predicting expression effects of human genome variants ab initio from sequence☆132Updated last year
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆50Updated 2 years ago
- Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications☆64Updated 4 years ago
- Deep neural networks for predicting CpG methylation☆152Updated 6 years ago
- Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputatio…☆120Updated 3 years ago
- deep residual neural network for classifying the pathogenicity of missense mutations.☆115Updated 4 years ago
- For anyone who are eager to applying deep learning in bioinformatics!☆123Updated 7 years ago
- Python interface to running command-line and web-based MHC binding predictors☆99Updated last year
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆173Updated 7 years ago
- dna2vec: Consistent vector representations of variable-length k-mers☆191Updated 3 years ago
- Jupyter notebook based genomic data visualization toolkit.☆249Updated 2 months ago
- Deep learning based processing of Atac-seq data☆131Updated 2 years ago
- ☆72Updated 2 years ago
- A toolkit to learn how to model and interpret regulatory sequence data using deep learning.☆264Updated 2 years ago
- Code for the CRISPOR article, all data and code to create figures and analysis☆47Updated 9 years ago
- ☆107Updated 7 years ago
- Training and testing of DeepBind models.☆101Updated 10 years ago
- mygene is an easy-to-use Python wrapper to access MyGene.Info services.☆97Updated last year
- A Python implementation of edgeR for differential expression analysis☆104Updated 6 years ago
- A deep learning package for predicting TF binding☆42Updated 6 years ago
- DCell browser and gene deletion simulator☆124Updated 3 years ago
- Deep learning for gene expression inference☆145Updated 6 years ago
- Python library to access Gene Expression Omnibus Database (GEO)☆158Updated last year