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Code used for the single-cell RNA-Seq batch effects paper
Reference-free Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
Single cell data integrative analysis
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Single cell perturbation prediction
Downstream analysis script for sci-fate (TF-gene linkage analysis / cell linkage analysis)
interface to Sci-Hub (to avoid firewall blocking)
scikit-learn-mooc
Scripts to recreate figures from the scmap paper
Survival Convolutional Neural Networks
Compendium to "A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines"
supporting code for the multinomial single cell RNA-Seq paper
Training Generative Adversarial Network models for scRNA-seq datasets
my scRNAseq analysis notes
Wasserstein Generative Adversarial Network for analysing scRNAseq data
Bench-marking classification tools for scRNA-seq data
scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data
Deep learning in a spiking neural network using segregated dendrites.
The Self-Assembling-Manifold (SAM) algorithm.
Nanopore RNA-Seq data from the Singapore Nanopore-Expression Project
To reveal the cellular heterogeneity within flow cytometry data, clustering and pseudotime analysis can be performed. Here, we demonstrate how to import (clustered) data, how to apply clustering and dimensionality reduction, and how to apply pseudotime analysis by Slingshot.
An overview of algorithms for estimating pseudotime in single-cell RNA-seq data
:sparkles: Code and figures accompanying the paper, "Single-cell alternative splicing analysis with Expedition reveals splicing dynamics during neuron differentiation" by Song and Botvinnik, et al
Algorithm for detecting alternative splicing in a population of single cells. See details in Welch et al., Nucleic Acids Research 2016: http://nar.oxfordjournals.org/content/early/2016/01/05/nar.gkv1525.full
Ren Lab in-house dual-barcode single nucleus ATAC-seq (snATAC-seq) analysis pipeline
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.