scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data-Reference-Cited by-同舟云学术

scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data

Published:2024-01 Issue:1 Volume:21 Page:95-105
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Dong Shujie¹^ORCID,Liu Yuansheng²^ORCID,Gong Yongshun³^ORCID,Dong Xiangjun¹^ORCID,Zeng Xiangxiang²^ORCID

Affiliation:

1. Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

3. School of Software, Shandong University, Jinan, China

Funder

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Natural Science Foundation of Hunan Province

Fundamental Research Promotion Plan of Qilu University of Technology

Shandong Academy of Sciences

Taishan Scholar Project of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8857/10422871/10415877.pdf?arnumber=10415877

Reference45 articles.

1. A single-cell atlas of the normal and malformed human brain vasculature

2. Molecular design in drug discovery: a comprehensive review of deep generative models

3. Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy

4. Sequence Alignment/Map format: a comprehensive review of approaches and applications

5. SBSM-Pro: Support bio-sequence machine for proteins;Wang,2023