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Qijin Yin

Showing results (1-10 of 12) with videos related to

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Bioinformatics (Oxford, England)|October 26, 2017
Chromatin accessibility prediction via a hybrid deep convolutional neural networkQiao Liu, Fei Xia, Qijin Yin, et al.
Computers in Biology and Medicine|October 1, 2022
REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association predictionYaowen Gu, Si Zheng, Qijin Yin, et al.
BMC Genomics|April 11, 2019
DeepHistone: a deep learning approach to predicting histone modificationsQijin Yin, Mengmeng Wu, Qiao Liu, et al.
Nucleic Acids Research|October 10, 2022
HiChIPdb: a comprehensive database of HiChIP regulatory interactionsWanwen Zeng, Qiao Liu, Qijin Yin, et al.
BMC Medical Genomics|February 10, 2021
Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarctionQixin Chen, Qijin Yin, Junxian Song, et al.
Briefings in Bioinformatics|April 3, 2022
An efficient curriculum learning-based strategy for molecular graph learningYaowen Gu, Si Zheng, Zidu Xu, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions predictionQijin Yin, Rui Fan, Xusheng Cao, et al.
Frontiers in Immunology|May 20, 2022
PRKAR1A and SDCBP Serve as Potential Predictors of Heart Failure Following Acute Myocardial InfarctionQixin Chen, Lina Su, Chuanfen Liu, et al.
Bioinformatics (Oxford, England)|April 8, 2022
scGraph: a graph neural network-based approach to automatically identify cell typesQijin Yin, Qiao Liu, Zhuoran Fu, et al.
Communications Biology|August 12, 2024
Building a learnable universal coordinate system for single-cell atlas with a joint-VAE modelHaoxiang Gao, Kui Hua, Xinze Wu, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|October 26, 2017
Chromatin accessibility prediction via a hybrid deep convolutional neural networkQiao Liu, Fei Xia, Qijin Yin, et al.
Computers in Biology and Medicine|October 1, 2022
REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association predictionYaowen Gu, Si Zheng, Qijin Yin, et al.
BMC Genomics|April 11, 2019
DeepHistone: a deep learning approach to predicting histone modificationsQijin Yin, Mengmeng Wu, Qiao Liu, et al.
Nucleic Acids Research|October 10, 2022
HiChIPdb: a comprehensive database of HiChIP regulatory interactionsWanwen Zeng, Qiao Liu, Qijin Yin, et al.
BMC Medical Genomics|February 10, 2021
Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarctionQixin Chen, Qijin Yin, Junxian Song, et al.
Briefings in Bioinformatics|April 3, 2022
An efficient curriculum learning-based strategy for molecular graph learningYaowen Gu, Si Zheng, Zidu Xu, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions predictionQijin Yin, Rui Fan, Xusheng Cao, et al.
Frontiers in Immunology|May 20, 2022
PRKAR1A and SDCBP Serve as Potential Predictors of Heart Failure Following Acute Myocardial InfarctionQixin Chen, Lina Su, Chuanfen Liu, et al.
Bioinformatics (Oxford, England)|April 8, 2022
scGraph: a graph neural network-based approach to automatically identify cell typesQijin Yin, Qiao Liu, Zhuoran Fu, et al.
Communications Biology|August 12, 2024
Building a learnable universal coordinate system for single-cell atlas with a joint-VAE modelHaoxiang Gao, Kui Hua, Xinze Wu, et al.
Pageof 2