Dr. FAN, Xiaohui (@ZJUFanLab)
github

ZJUFanLab

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  • Stars
    star
    642
  • Global Rank 46,375 (Top 2 %)
  • Followers 153
  • Following 1
  • Registered over 5 years ago
  • Most used languages
    R
         52.6 %
    Jupyter Notebook
         21.1 %
    Python
         15.8 %
    HTML
         10.5 %
  • Location πŸ‡¨πŸ‡³ China
  • Country Total Rank 8,258
  • Country Ranking
    R
         8
    Jupyter Notebook
         405
    HTML
         1,640
    Python
         4,329

Top repositories

1

scCATCH

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
R
210
star
2

bulk2space

a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
Jupyter Notebook
110
star
3

scDeepSort

Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
Python
98
star
4

SpaTalk

Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data
R
57
star
5

scRank

A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic data
R
35
star
6

CellTalkDB

A manually curated database of literature-supported ligand-receptor interactions in human and mouse
R
25
star
7

scSpace

an integrative algorithm to distinguish spatially variable cell subclusters by reconstructing cells onto a pseudo space with spatial transcriptome references
HTML
21
star
8

scCube

an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT data
Jupyter Notebook
15
star
9

scCATCH_performance_comparison

The source code and results of performance comparison on the detail of the process among scCATCH, CellAssign, Garnett, SingleR, scMap and CHETAH, and CellMatch database
HTML
15
star
10

scDeepSort_performance_comparison

The source code and results for different methods on annotating external testing datsets of human and mouse.
R
11
star
11

CCL-cGPS

A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
R
9
star
12

SpaTrio

Python
7
star
13

SCOTCH

SCOTCH is a Single-Cell multi-modal integration method leveraging the Optimal Transport algorithm and a cell matCHing strategy
Jupyter Notebook
6
star
14

TCMChat

Repo for TCMChat: A Generative Large Language Model for Traditional Chinese Medicine
Python
4
star
15

scDeepTalk

Infer cell-cell communications based on feed-forward neural network
R
3
star
16

scTITANS

Identifying key genes and cell subclusters for time-series single cell sequencing data
R
3
star
17

scNiche

a computational framework to identify and characterize cell niches from spatial omics data at single-cell resolution
Jupyter Notebook
3
star
18

scDisProcema

R
2
star
19

SAMBA

1
star
20

scCrossTalk

R
1
star