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20 search results found

Deepvariant ⭐ 2,978

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Nucleus ⭐ 675

Python and C++ code for reading and writing genomics data.

Gcp Essentials ⭐ 208

Sample code and notes for my GCP courses on LinkedIn Learning

Deep learning infrastructure for genomics

Deepecg ⭐ 187

ECG classification programs based on ML/DL methods

Diffxpy ⭐ 157

Differential expression analysis for single-cell RNA-seq data.

Clairvoyante ⭐ 142

Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing

Deepsignal ⭐ 98

Detecting methylation using signal-level features from Nanopore sequencing reads

Cell_blast ⭐ 74

A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.

Molgraph ⭐ 34

Graph neural networks for molecular machine learning. Implemented and compatible with TensorFlow and Keras.

Stackeddae ⭐ 20

Stacked Denoising AutoEncoder based on TensorFlow

GEDFN: Graph-Embedded Deep Feedforward Network

DeepSEA in TensorFlow

Cnnpeaks ⭐ 13

The ChIP-Seq peak calling algorithm using convolution neural networks

Tensorflow Dnns For Predicting Dna Transcription Factor Binding ⭐ 13

Deep neural networks implemented in TensorFlow & Python for predicting whether transcription factors will bind to given DNA sequences

Emory Bmi Gsoc ⭐ 8

Emory BMI GSoC 2020 Project Ideas

Adversarial Gene Expression ⭐ 8

Adversarial generation of gene expression data using Generative Adversarial Networks

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance (Scientific Reports)

Ninetails ⭐ 5

An R package for finding non-adenosine residues in poly(A) tails of ONT direct RNA sequencing reads

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