Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method.

Ding, Shijian; Wang, Deling; Zhou, Xianchao; Chen, Lei; Feng, Kaiyan; Xu, Xianling; Huang, Tao; Li, Zhandong; Cai, Yudong

Ding, Shijian; Wang, Deling; Zhou, Xianchao; Chen, Lei; Feng, Kaiyan; Xu, Xianling; Huang, Tao; Li, Zhandong; Cai, Yudong.

Affiliation

Ding S; School of Life Sciences, Shanghai University, Shanghai 200444, China.
Wang D; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Zhou X; Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Chen L; College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.
Feng K; Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou 510507, China.
Xu X; Guangdong AIB Polytechnic College, Guangzhou 510507, China.
Huang T; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Li Z; CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Cai Y; College of Food Engineering, Jilin Engineering Normal University, Changchun 130052, China.

Life (Basel) ; 12(2)2022 Jan 31.

Article in En | MEDLINE | ID: mdl-35207515

Key words

biomarker; decision rule; heart cell; machine learning method; single-cell profiles

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Life (Basel) Year: 2022 Type: Article Affiliation country: China

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