kipoi / kipoiseq
Standard set of data-loaders for training and making predictions for DNA sequence-based models.
☆81Updated 4 months ago
Alternatives and similar repositories for kipoiseq:
Users that are interested in kipoiseq are comparing it to the libraries listed below
- Predicting gene expression levels from genomic sequences☆51Updated 4 years ago
- Tissue-specific variant effect predictions on splicing☆40Updated last year
- Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…☆44Updated 3 years ago
- Downloader for ENCODE☆31Updated 4 years ago
- Knowledge-primed neural networks☆35Updated last year
- A python library for creating simulated regulatory DNA sequences☆37Updated last year
- ☆26Updated last year
- A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.☆65Updated 6 months ago
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆33Updated 3 months ago
- Model zoo for genomics☆166Updated 6 months ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆43Updated 5 years ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆31Updated 5 years ago
- ExplaiNN: interpretable and transparent neural networks for genomics☆46Updated this week
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆44Updated 5 months ago
- HLA-II ligand predictor.☆38Updated last year
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- Code for the CRISPOR article, all data and code to create figures and analysis☆41Updated 8 years ago
- DeepSEA in TensorFlow☆29Updated 7 years ago
- Computational Optimization of DNA Activity (CODA)☆53Updated 2 weeks ago
- A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence☆33Updated 8 months ago
- A deep learning package for predicting TF binding☆42Updated 5 years ago
- code to run sei and obtain sei and sequence class predictions☆96Updated 2 years ago
- TF MOtif Discovery from Importance SCOres☆132Updated last year
- A simple pythonic interface to biomart.☆55Updated 4 years ago
- ☆33Updated 2 years ago
- Python interface to running command-line and web-based MHC binding predictors☆94Updated 3 months ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- MHC Class I and Class II neoantigen binding prediction☆26Updated last year
- RNA-seq prediction with deep convolutional neural networks.☆116Updated last month
- Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them☆148Updated 5 months ago