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Junliang Shang

Showing results (61-70 of 93) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 27, 2022
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated MicrobesJin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, et al.
Genes|December 23, 2022
EpiReSIM: A Resampling Method of Epistatic Model without Marginal Effects Using Under-Determined System of EquationsJunliang Shang, Xinrui Cai, Tongdui Zhang, et al.
Journal of Bioinformatics and Computational Biology|January 7, 2021
Sparse robust graph-regularized non-negative matrix factorization based on correntropyChuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, et al.
BMC Bioinformatics|October 8, 2020
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classificationLiang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, et al.
Medical Physics|September 14, 2017
Adaptive non-local means on local principle neighborhood for noise/artifacts reduction in low-dose CT imagesYuanke Zhang, Hongbing Lu, Junyan Rong, et al.
Frontiers in Oncology|August 11, 2023
The lower He-sea points playing a significant role in postoperative ileus in colorectal cancer treated with acupuncture: based on machine-learningXu Zhang, Wenjing Yang, Junliang Shang, et al.
International Journal of Neural Systems|February 1, 2021
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant AnalysisDelu Ma, Shasha Yuan, Junliang Shang, et al.
BMC Bioinformatics|May 18, 2016
CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactionsJunliang Shang, Yingxia Sun, Jin-Xing Liu, et al.
IEEE Journal of Biomedical and Health Informatics|June 4, 2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy WeightsQi Zhong, Junliang Shang, Qianqian Ren, et al.
IEEE Journal of Biomedical and Health Informatics|April 8, 2023
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic DataJunliang Shang, Qi Zou, Qianqian Ren, et al.
Pageof 10

Showing results (61-70 of 93) with videos related to

Sort By:
Pageof 10
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 27, 2022
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated MicrobesJin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, et al.
Genes|December 23, 2022
EpiReSIM: A Resampling Method of Epistatic Model without Marginal Effects Using Under-Determined System of EquationsJunliang Shang, Xinrui Cai, Tongdui Zhang, et al.
Journal of Bioinformatics and Computational Biology|January 7, 2021
Sparse robust graph-regularized non-negative matrix factorization based on correntropyChuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, et al.
BMC Bioinformatics|October 8, 2020
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classificationLiang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, et al.
Medical Physics|September 14, 2017
Adaptive non-local means on local principle neighborhood for noise/artifacts reduction in low-dose CT imagesYuanke Zhang, Hongbing Lu, Junyan Rong, et al.
Frontiers in Oncology|August 11, 2023
The lower He-sea points playing a significant role in postoperative ileus in colorectal cancer treated with acupuncture: based on machine-learningXu Zhang, Wenjing Yang, Junliang Shang, et al.
International Journal of Neural Systems|February 1, 2021
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant AnalysisDelu Ma, Shasha Yuan, Junliang Shang, et al.
BMC Bioinformatics|May 18, 2016
CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactionsJunliang Shang, Yingxia Sun, Jin-Xing Liu, et al.
IEEE Journal of Biomedical and Health Informatics|June 4, 2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy WeightsQi Zhong, Junliang Shang, Qianqian Ren, et al.
IEEE Journal of Biomedical and Health Informatics|April 8, 2023
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic DataJunliang Shang, Qi Zou, Qianqian Ren, et al.
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