cailab-tamu Goto Github PK
Name: Cai Lab at Texas A&M (cailab-tamu)
Type: Organization
Bio: Single-Cell Biology / Machine Learning / Quantum Computing
Location: College Station, Texas, USA
Name: Cai Lab at Texas A&M (cailab-tamu)
Type: Organization
Bio: Single-Cell Biology / Machine Learning / Quantum Computing
Location: College Station, Texas, USA
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Calling Consensus Peaks
Supporting information for 'Single-cell expression variability implies cell function'
scRNA-seq with LCLs - Three cell line samples sequenced: (1) GM12878, (2) GM18502, and (3) the 1:1 mixture of the two
Low-rank Sparse Matrix Approximation for ChIP-Seq Consensus Peak Detection
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
The initial version of this is entirely thanks to the work of Christof Teuscher (http://www.teuscher.ch/christof/ext/), who created the original Matlab Random Boolean Network Toolbox (http://www.teuscher.ch/rbntoolbox/). The only changes made so far are to make the toolbox compatible with r2015a. Refer to the Toolbox site for additional overview and documentation information. This is posted with permission, under a BSD license, with permission from the original author. Additional updates (or notification of features that still don't work - I haven't tested all of them yet) are welcome.
Quantum Gene Regulatory Networks with Application to Single-cell Data
Supporting information of 'Single-cell RNA sequencing of a European and an African lymphoblastoid cell line'
R/MATLAB package to perform virtual knockout experiments on single-cell gene regulatory networks.
A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data
Manifold learning to detect cell-cell interactions.
github site for VIBS-689 Special Topics in Single Cell Analyses
Support material for "scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data"
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Data-Driven Documents codes.
China tencent open source team.