SSICreative83

Achitecture-and-Design-Patterns

Java,C++

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Big-Data-and-Deep-Learning

Hadoop，Spark，Kafka，Caffe，Tensorflow

Bioinformatics

Biomedical

d3_in_action_2

Examples for D3.js in Action 2nd Edition (D3v4)

Linux

awk,sed,perl

Machine-Learning-and-Data-Mining

R，Python，Java

R-Markdown

Books

Shiny-App

R

trVAE_reproducibility

SSICreative83/trVAE_reproducibility

SSICreative83/algo

数据结构和算法必知必会的50个代码实现

SSICreative83/anndata

Annotated data.

SSICreative83/awesome-multi-omics

List of software packages for multi-omics analysis

SSICreative83/bcbio-nextgen

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

SSICreative83/Bioinformatics-Data-Analysis-Workflows

SSICreative83/cell_type_specific_AAV_enhancer_discovery_deployment

SSICreative83/citeseq_autoencoder

Integrative analysis of single-cell multi-omics data using deep learning

SSICreative83/combes-organoid-paper

Analysis code and output for the Combes kidney organoid scRNA-seq paper

SSICreative83/developer-roadmap

Roadmap to becoming a web developer in 2019

SSICreative83/dynamo-notebooks

Tutorials of Dynamo usage cases and code to reproduce the manuscript

SSICreative83/dynamo-release

Inclusive model of expression dynamics with scSLAM-seq and multiomics, vector field reconstruction and potential landscape mapping

SSICreative83/kBET

An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

SSICreative83/lczero-training

For code etc relating to the network training process.

SSICreative83/netSmooth

netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation

SSICreative83/neurodata-website

SSICreative83/PIVOT

Platform for Interactive analysis and Visualization Of Transcriptomics data

SSICreative83/projectR

SSICreative83/pySCENIC

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

SSICreative83/SAVER

Single-cell RNA-seq Gene Expression Recovery

SSICreative83/SCENIC

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

SSICreative83/scOmics-integration-deployment

SSICreative83/scRNA-seq

SSICreative83/shinyapp

SSICreative83/simple-bash-scripts

A collection of simple Bash scripts

SSICreative83/single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

SSICreative83/slum-dnaseq-analysis-bash-workflow

SSICreative83/SSICreative83.github.io

SSICreative83/variant

Wrap up your bash scripts into a modern CLI today. Graduate to a full-blown golang app tomorrow.

SSICreative83/VisCello

Viscello for Visualization of Single Cell Data