CellEnBoost: A Boosting-Based Ligand-Receptor Interaction Identification Model for Cell-to-Cell Communication Inference-Reference-Cited by-同舟云学术

CellEnBoost: A Boosting-Based Ligand-Receptor Interaction Identification Model for Cell-to-Cell Communication Inference

Published:2023-10 Issue:4 Volume:22 Page:705-715
ISSN:1536-1241
Container-title:IEEE Transactions on NanoBioscience
language:
Short-container-title:IEEE Trans.on Nanobioscience

Author:

Peng Lihong¹^ORCID,Yuan Ruya¹^ORCID,Han Chendi²^ORCID,Han Guosheng³^ORCID,Tan Jingwei¹,Wang Zhao¹,Chen Min⁴^ORCID,Chen Xing⁵^ORCID

Affiliation:

1. School of Computer Science, Hunan University of Technology, Zhuzhou, China

2. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

3. Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China

4. School of Computer Science, Hunan Institute of Technology, Hengyang, China

5. School of Science, Jiangnan University, Wuxi, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, Hunan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/7728/10269102/10130610.pdf?arnumber=10130610

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4. iTALK: An R package to characterize and illustrate intercellular communication;wang;BioRxiv,2019

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