Vivianstats
Statistical and bioinformatics methods developed by the Wei Vivian Li Lab.
University of California, Riverside
Pinned Repositories
AIDE
AIDE: annotation-assisted isoform discovery and quantification from RNA-seq data
MAAPER
Model-based analysis of APA using 3' end-linked reads
MSIQ
Joint modeling of multiple RNA-seq samples for accurate isoform quantification
PhitestR
A bioinformatics tool for analyzing the heterogeneity of single-cell populations
scDesign
A statistical simulator for rational scRNA-seq experimental design
scImpute
Accurate and robust imputation of scRNA-seq data
scINSIGHT
Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data
scLink
Inferring gene co-expression networks from single cell gene expression data
TROM
Transcriptome Overlap Measure
vivianstats.github.io
My homepage
Vivianstats's Repositories
Vivianstats/scImpute
Accurate and robust imputation of scRNA-seq data
Vivianstats/scLink
Inferring gene co-expression networks from single cell gene expression data
Vivianstats/scINSIGHT
Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data
Vivianstats/AIDE
AIDE: annotation-assisted isoform discovery and quantification from RNA-seq data
Vivianstats/scDesign
A statistical simulator for rational scRNA-seq experimental design
Vivianstats/MAAPER
Model-based analysis of APA using 3' end-linked reads
Vivianstats/PhitestR
A bioinformatics tool for analyzing the heterogeneity of single-cell populations
Vivianstats/MSIQ
Joint modeling of multiple RNA-seq samples for accurate isoform quantification
Vivianstats/TROM
Transcriptome Overlap Measure
Vivianstats/vivianstats.github.io
My homepage
Vivianstats/data-pkg
Example data for testing R packages
Vivianstats/Deep-Learning-Specialization-Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
Vivianstats/TUBE
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
Vivianstats/UMI-tools
Tools for handling Unique Molecular Identifiers in NGS data sets