Generating detailed intercellular communication patterns in psoriasis at the single-cell level using social networking, pattern recognition, and manifold learning methods to optimize treatment strategies

Author:

Xiong Ying1,Li Sidi2,Bai Yunmeng3,Chen Ting1,Sun Wenwen1,Chen Lijie1,Yu Jia1,Sun Liwei1,Li Chijun1,Wang Jiajian45678,Wu Bo1

Affiliation:

1. Department of Dermatology, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China

2. Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China

3. Department of Nephrology, Shenzhen key Laboratory of Kidney Diseases, Shenzhen People’s Hospital, The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China

4. Department of Pediatrics, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, Guangdong, China

5. Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, Guangdong, China

6. Clinical Laboratory Department of The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen and Longgang District People’s Hospital of Shenzhen, Shenzhen 518172, China

7. Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

8. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Publisher

Impact Journals, LLC

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