ZJUFanLab

ZJUFanLab's Stars

• seandavi/awesome-single-cell

  Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

  3.3k249231k

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook1k1143183

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python9471526140

• tencent-ailab/grover

  This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

  Language:Python33971872

• drieslab/Giotto

  Spatial omics analysis toolbox

  Language:R29113306103

• ZJUFanLab/scCATCH

  Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

  Language:R22656537

• saeyslab/multinichenetr

  MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data

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• ZJUFanLab/bulk2space

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

  Language:Jupyter Notebook11842123

• ZJUFanLab/scDeepSort

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

  Language:Python10252519

• ZJUFanLab/SpaTalk

  Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data

  Language:R6634718

• ZJUFanLab/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

  Language:R453145

• ZJUFanLab/CellTalkDB

  A manually curated database of literature-supported ligand-receptor interactions in human and mouse

  Language:R29245

• ZJUFanLab/scCube

  an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT data

  Language:Jupyter Notebook23251

• ZJUFanLab/scSpace

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

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• ZJUFanLab/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

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• ZJUFanLab/scDeepSort_performance_comparison

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

  Language:R12100

• ZJUFanLab/KANO

  Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".

  Language:Python10101

• ZJUFanLab/CCL-cGPS

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

  Language:R9101

• ZJUFanLab/SpaTrio

  Language:Python7122

• ZJUFanLab/scTITANS

  Identifying key genes and cell subclusters for time-series single cell sequencing data

  Language:R411

• ZJUFanLab/scDisProcema

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