Vivianstats

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University of California, Riverside

Vivian Li Lab's repositories

scImpute

Accurate and robust imputation of scRNA-seq data

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scLink

Inferring gene co-expression networks from single cell gene expression data

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scINSIGHT

Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data

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AIDE

AIDE: annotation-assisted isoform discovery and quantification from RNA-seq data

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scDesign

A statistical simulator for rational scRNA-seq experimental design

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MAAPER

Model-based analysis of APA using 3' end-linked reads

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PhitestR

A bioinformatics tool for analyzing the heterogeneity of single-cell populations

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MSIQ

Joint modeling of multiple RNA-seq samples for accurate isoform quantification

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TROM

Transcriptome Overlap Measure

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vivianstats.github.io

My homepage

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data-pkg

Example data for testing R packages

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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.

Apache-2.0000

TUBE

Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification

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UMI-tools

Tools for handling Unique Molecular Identifiers in NGS data sets

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