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Name: Vivian Li Lab
Type: User
Company: University of California, Riverside
Bio: Statistical and bioinformatics methods developed by the Wei Vivian Li Lab.
Twitter: vivianstats
Blog: vivianli.org
Name: Vivian Li Lab
Type: User
Company: University of California, Riverside
Bio: Statistical and bioinformatics methods developed by the Wei Vivian Li Lab.
Twitter: vivianstats
Blog: vivianli.org
AIDE: annotation-assisted isoform discovery and quantification from RNA-seq data
Example data for testing R packages
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.
Model-based analysis of APA using 3' end-linked reads
Joint modeling of multiple RNA-seq samples for accurate isoform quantification
A bioinformatics tool for analyzing the heterogeneity of single-cell populations
A statistical simulator for rational scRNA-seq experimental design
Accurate and robust imputation of scRNA-seq data
Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data
Inferring gene co-expression networks from single cell gene expression data
Transcriptome Overlap Measure
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
Tools for handling Unique Molecular Identifiers in NGS data sets
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