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Jiangeng Li

Showing results (1-10 of 7) with videos related to

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Interdisciplinary Sciences, Computational Life Sciences|August 24, 2015
A Filter Feature Selection Method Based on MFA Score and Redundancy Excluding and It's Application to Tumor Gene Expression Data AnalysisJiangeng Li, Lei Su, Zenan Pang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 9, 2016
3D Genome Reconstruction with ShRec3D+ and Hi-C DataJiangeng Li, Wei Zhang, Xiaodan Li
Science in China. Series C, Life Sciences|July 22, 2006
Tumor-specific gene expression patterns with gene expression profilesXiaogang Ruan, Yingxin Li, Jiangeng Li, et al.
Oncology Reports|July 4, 2012
Identification of candidate colon cancer biomarkers by applying a random forest approach on microarray dataZhi Yan, Jiangeng Li, Yimin Xiong, et al.
Scientific Reports|June 9, 2026
Experimental investigation on the stable operating range of a two-stroke aviation kerosene engine at idle based on cyclic variation analysisHui Li, Zhiqiang Han, Jian Wang, et al.
Oncology Letters|August 20, 2019
Predicting prognosis of endometrioid endometrial adenocarcinoma on the basis of gene expression and clinical features using Random ForestFufen Yin, Xingyang Shao, Lijun Zhao, et al.
Biomarker Insights|September 12, 2014
Identification of gene signatures used to recognize biological characteristics of gastric cancer upon gene expression dataZhi Yan, Brian T Luke, Shirley X Tsang, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Interdisciplinary Sciences, Computational Life Sciences|August 24, 2015
A Filter Feature Selection Method Based on MFA Score and Redundancy Excluding and It's Application to Tumor Gene Expression Data AnalysisJiangeng Li, Lei Su, Zenan Pang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 9, 2016
3D Genome Reconstruction with ShRec3D+ and Hi-C DataJiangeng Li, Wei Zhang, Xiaodan Li
Science in China. Series C, Life Sciences|July 22, 2006
Tumor-specific gene expression patterns with gene expression profilesXiaogang Ruan, Yingxin Li, Jiangeng Li, et al.
Oncology Reports|July 4, 2012
Identification of candidate colon cancer biomarkers by applying a random forest approach on microarray dataZhi Yan, Jiangeng Li, Yimin Xiong, et al.
Scientific Reports|June 9, 2026
Experimental investigation on the stable operating range of a two-stroke aviation kerosene engine at idle based on cyclic variation analysisHui Li, Zhiqiang Han, Jian Wang, et al.
Oncology Letters|August 20, 2019
Predicting prognosis of endometrioid endometrial adenocarcinoma on the basis of gene expression and clinical features using Random ForestFufen Yin, Xingyang Shao, Lijun Zhao, et al.
Biomarker Insights|September 12, 2014
Identification of gene signatures used to recognize biological characteristics of gastric cancer upon gene expression dataZhi Yan, Brian T Luke, Shirley X Tsang, et al.
Pageof 1