Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis

Author:

Peng LihongORCID,Gao Pengfei,Xiong Wei,Li Zejun,Chen XingORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference117 articles.

1. CellDialog: A computational framework for ligand-receptor-mediated cell-cell communication analysis III;Peng;IEEE J. Biomed. Health Inf.,2023

2. Deciphering cell–cell interactions and communication from gene expression;Armingol;Nature Rev. Genet.,2021

3. Cell–cell communication: old mystery and new opportunity;Song,2019

4. STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering;Peng;Comput. Biol. Med.,2023

5. Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies;Peng;Brief. Bioinform.,2022

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