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Xiangjie Li's Projects

prime icon prime

Projective Resampling Imputation Estimation Method for Missing Covariates Problems

pyscenic icon pyscenic

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

rnaseq_tutorial icon rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

scanpy icon scanpy

Single-Cell Analysis in Python. Scales to >1M cells.

scdml icon scdml

Batch alignment of single-cell transcriptomics data using deep metric learning

scdml_reproduce icon scdml_reproduce

Batch alignment of single-cell transcriptomics data using deep metric learning

scpsm icon scpsm

Propensity Score Matching enables batch effect corrected imputation in single-cell RNA-seq analysis

scvi icon scvi

Deep generative modeling for single-cell transcriptomics

spagcn icon spagcn

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

spdr icon spdr

Structure preserved dimension reduction using triplets for integration of single cell transcriptomics data

test icon test

My Blog / Jekyll Themes / PWA

tradeseq icon tradeseq

TRAjectory-based Differential Expression analysis for SEQuencing data

viridis icon viridis

Implementation of the Matplolib 'viridis' color map in R

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