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Zongcheng Li

Showing results (11-20 of 45) with videos related to

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Biochemical and Biophysical Research Communications|April 30, 2021
Integrative transcriptomic analysis of developing hematopoietic stem cells in human and mouse at single-cell resolutionJunjie Du, Han He, Zongcheng Li, et al.
Frontiers in Immunology|October 13, 2023
Divergent molecular events underlying initial T-cell commitment in human prenatal and postnatal thymusHan He, Yingpeng Yao, Lindong Tang, et al.
Journal of Colloid and Interface Science|January 4, 2023
Selenium-decorated biocompatible honeycomb films with redox-switchable surface for controlling cell adhesion/detachmentZongcheng Li, Yuting Shang, Lu Liu, et al.
Small (Weinheim an Der Bergstrasse, Germany)|February 27, 2023
Advanced Composite Solid Electrolytes for Lithium Batteries: Filler Dimensional Design and Ion Path OptimizationFeifan Zheng, Chunwei Li, Zongcheng Li, et al.
Oncotarget|October 6, 2016
Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinomaZongcheng Li, Yaowen Chen, Shuofeng Hu, et al.
Biomacromolecules|March 5, 2021
CO<sub>2</sub>-Triggered ON/OFF Wettability Switching on Bioinspired Polylactic Acid Porous Films for Controllable BioadhesionHongyao Yin, Fuxing Zhan, Zongcheng Li, et al.
Frontiers in Immunology|June 4, 2026
Single-cell transcriptome delineating asymmetric dynamics of CD4<sup>+</sup> T and CD8<sup>+</sup> T cell lineage commitment in human prenatal thymusYang Yang, Yingpeng Yao, Shiga Jibu, et al.
Scientific Reports|December 23, 2017
Corrigendum: BCIP: A gene-centered platform for identifying potential regulatory genes in breast cancerJiaqi Wu, Shuofeng Hu, Yaowen Chen, et al.
Scientific Reports|March 23, 2017
BCIP: a gene-centered platform for identifying potential regulatory genes in breast cancerJiaqi Wu, Shuofeng Hu, Yaowen Chen, et al.
Frontiers in Endocrinology|April 5, 2024
Develop prediction model to help forecast advanced prostate cancer patients' prognosis after surgery using neural networkShanshan Li, Siyu Cai, Jinghong Huang, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
Biochemical and Biophysical Research Communications|April 30, 2021
Integrative transcriptomic analysis of developing hematopoietic stem cells in human and mouse at single-cell resolutionJunjie Du, Han He, Zongcheng Li, et al.
Frontiers in Immunology|October 13, 2023
Divergent molecular events underlying initial T-cell commitment in human prenatal and postnatal thymusHan He, Yingpeng Yao, Lindong Tang, et al.
Journal of Colloid and Interface Science|January 4, 2023
Selenium-decorated biocompatible honeycomb films with redox-switchable surface for controlling cell adhesion/detachmentZongcheng Li, Yuting Shang, Lu Liu, et al.
Small (Weinheim an Der Bergstrasse, Germany)|February 27, 2023
Advanced Composite Solid Electrolytes for Lithium Batteries: Filler Dimensional Design and Ion Path OptimizationFeifan Zheng, Chunwei Li, Zongcheng Li, et al.
Oncotarget|October 6, 2016
Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinomaZongcheng Li, Yaowen Chen, Shuofeng Hu, et al.
Biomacromolecules|March 5, 2021
CO<sub>2</sub>-Triggered ON/OFF Wettability Switching on Bioinspired Polylactic Acid Porous Films for Controllable BioadhesionHongyao Yin, Fuxing Zhan, Zongcheng Li, et al.
Frontiers in Immunology|June 4, 2026
Single-cell transcriptome delineating asymmetric dynamics of CD4<sup>+</sup> T and CD8<sup>+</sup> T cell lineage commitment in human prenatal thymusYang Yang, Yingpeng Yao, Shiga Jibu, et al.
Scientific Reports|December 23, 2017
Corrigendum: BCIP: A gene-centered platform for identifying potential regulatory genes in breast cancerJiaqi Wu, Shuofeng Hu, Yaowen Chen, et al.
Scientific Reports|March 23, 2017
BCIP: a gene-centered platform for identifying potential regulatory genes in breast cancerJiaqi Wu, Shuofeng Hu, Yaowen Chen, et al.
Frontiers in Endocrinology|April 5, 2024
Develop prediction model to help forecast advanced prostate cancer patients' prognosis after surgery using neural networkShanshan Li, Siyu Cai, Jinghong Huang, et al.
Pageof 5