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Vivian Li Lab's Projects

aide icon aide

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

deep-learning-specialization-coursera icon 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.

maaper icon maaper

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

msiq icon msiq

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

phitestr icon phitestr

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

scdesign icon scdesign

A statistical simulator for rational scRNA-seq experimental design

scimpute icon scimpute

Accurate and robust imputation of scRNA-seq data

scinsight icon scinsight

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

sclink icon sclink

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

trom icon trom

Transcriptome Overlap Measure

tube icon tube

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

umi-tools icon umi-tools

Tools for handling Unique Molecular Identifiers in NGS data sets

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