p-koo / learning_sequence_motifsLinks
"Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy
☆33Updated 5 years ago
Alternatives and similar repositories for learning_sequence_motifs
Users that are interested in learning_sequence_motifs are comparing it to the libraries listed below
Sorting:
- A deep learning package for predicting TF binding☆42Updated 5 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆83Updated last year
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆25Updated 6 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆54Updated 6 years ago
- Scripts for building computational models of gene regulation with tensorflow☆27Updated 2 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 5 years ago
- Python module for the easy handling and analysis of DNase-seq data☆37Updated 6 years ago
- Downloader for ENCODE☆32Updated 5 years ago
- a python package for KEGG pathway enrichment analysis with multiple gene lists.☆38Updated 8 years ago
- ☆51Updated 2 years ago
- Deep Feature Interaction Maps (DFIM)☆53Updated 6 years ago
- Simple and efficient access to genomic data for deep learning models.☆42Updated 5 years ago
- ☆24Updated last year
- MHC Class I and Class II neoantigen binding prediction☆33Updated 5 months ago
- Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…☆44Updated 4 years ago
- DeepMetabolism is a deep learning algorithm to predict phenotype from genome sequencing☆32Updated 8 years ago
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆43Updated 2 years ago
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 3 years ago
- ☆33Updated 3 years ago
- Python package to plot sequence logos☆29Updated 2 years ago
- Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data☆33Updated 8 years ago
- Predicting gene expression levels from genomic sequences☆55Updated 5 years ago
- Flexible Integration of Data with Deep LEarning☆51Updated 2 years ago
- ☆10Updated 5 years ago
- FREE Divergence Error-Correcting DNA Barcodes☆27Updated 10 months ago
- MAVE-NN: genotype-phenotype maps from multiplex assays of variant effect☆28Updated last week
- Python interface to running command-line and web-based MHC binding predictors☆99Updated last year
- A python library for creating simulated regulatory DNA sequences☆39Updated 2 years ago
- ☆32Updated 6 years ago