philippmuench / dna_lstm
LSTM for binary DNA sequence classification
☆31Updated 2 years ago
Related projects: ⓘ
- DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch & Neural DBG☆69Updated 6 years ago
- End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning☆22Updated 4 years ago
- Perform hyper-parameter tuning, training, testing and prediction with Keras☆44Updated 6 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆19Updated 2 years ago
- Deep learning multi-label classifier of non-coding DNA sequences☆13Updated 4 years ago
- Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications☆62Updated 3 years ago
- Recreation of the DNA Sequence Classification Paper☆13Updated 7 years ago
- mRNN is an implementation of a Gated Recurrent Unit (GRU) network for classification of transcripts as either coding or noncoding.☆20Updated 5 years ago
- "DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications", Bioinformatics, Volume 34, Issue 17,☆20Updated 4 years ago
- Source code of the paper "DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations"☆13Updated 7 years ago
- DSDE Deep Learning Club☆40Updated 5 years ago
- Deep learning methods for feature selection in gene expression autism data.☆32Updated 2 years ago
- pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks☆86Updated 4 years ago
- Wasserstein Generative Adversarial Network for analysing scRNAseq data☆34Updated 3 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 5 years ago
- Can deep learning improve genomic prediction of complex human traits? by Pau Bellot, Gustavo de los Campos, Miguel Pérez-Enciso, Genetics☆21Updated last month
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 3 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆24Updated 5 months ago
- A deep learning package for predicting TF binding☆41Updated 4 years ago
- This function implements quantile normalization in python matrix☆21Updated 2 years ago
- ☆22Updated 3 years ago
- Concise: Keras extension for regulatory genomics☆32Updated last year
- Simple and efficient access to genomic data for deep learning models.☆43Updated 4 years ago
- ☆13Updated 4 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆76Updated 2 weeks ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Updated 5 years ago
- ☆9Updated 4 years ago
- a python package for KEGG pathway enrichment analysis with multiple gene lists.☆35Updated 6 years ago
- Deep Feature Interaction Maps (DFIM)☆52Updated 5 years ago
- nuclear compartments, subcompartments, nuclear organization, Hi-C, autoencoder☆29Updated 2 months ago