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Akademický článek

Identification of DNase I hypersensitive sites in the human genome by multiple sequence descriptors.

Autor: Jin YT; School of Life Science and Technology, University of Electronic Science and Technology of China, 611731 Chengdu, China. Electronic address: jinyanting@uestc.edu.cn., Tan Y; School of Life Science and Technology, University of Electronic Science and Technology of China, 611731 Chengdu, China., Gan ZH; Department of Pathology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China., Hao YD; School of Life Science and Technology, University of Electronic Science and Technology of China, 611731 Chengdu, China. Electronic address: 202221140528@std.uestc.edu.cn., Wang TY; School of Life Science and Technology, University of Electronic Science and Technology of China, 611731 Chengdu, China., Lin H; School of Life Science and Technology, University of Electronic Science and Technology of China, 611731 Chengdu, China. Electronic address: hlin@uestc.edu.cn., Tang B; Department of Pathology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China. Electronic address: 13438585758@163.com.

Publikováno v: Methods (San Diego, Calif.) [Methods] 2024 Sep; Vol. 229, pp. 125-132. Date of Electronic Publication: 2024 Jul 02.

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Akademický článek

The Prediction of Recombination Hotspot Based on Automated Machine Learning.

Autor: Ye DX; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China., Yu JW; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China., Li R; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China., Hao YD; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China., Wang TY; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China., Yang H; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, Zhejiang, China. Electronic address: huiyang0325@163.com., Ding H; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China. Electronic address: hding@uestc.edu.cn.

Publikováno v: Journal of molecular biology [J Mol Biol] 2024 Jun 12, pp. 168653. Date of Electronic Publication: 2024 Jun 12.

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Akademický článek

Prediction of blood-brain barrier penetrating peptides based on data augmentation with Augur.

Autor: Gu ZF; The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, PR China., Hao YD; The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, PR China., Wang TY; The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, PR China., Cai PL; School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, PR China., Zhang Y; Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, PR China., Deng KJ; The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, PR China., Lin H; The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China. hlin@uestc.edu.cn.; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, PR China. hlin@uestc.edu.cn., Lv H; The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China. hao.lyu@uestc.edu.cn.; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, PR China. hao.lyu@uestc.edu.cn.

Publikováno v: BMC biology [BMC Biol] 2024 Apr 19; Vol. 22 (1), pp. 86. Date of Electronic Publication: 2024 Apr 19.

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Akademický článek

Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression.

Autor: Zhang ZY; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.; School of Healthcare Technology, Chengdu Neusoft University, Chengdu, China., Sun ZJ; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Gao D; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Hao YD; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Lin H; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Liu F; Department of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus), Affiliated Cancer Hospital of Inner Mongolia Medical University, Inner Mongolia Cancer Hospital, Hohhot, China.

Publikováno v: IET systems biology [IET Syst Biol] 2024 Mar 26. Date of Electronic Publication: 2024 Mar 26.

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Akademický článek

Predicting coronary heart disease in Chinese diabetics using machine learning.

Autor: Ma CY; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Luo YM; School of Medical Information and Engineering, Southwest Medical University, Luzhou, 646000, China., Zhang TY; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Hao YD; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Xie XQ; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Liu XW; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Ren XL; Sichuan Chuanjiang Science and Technology Research Institute Co., Ltd, Luzhou, 646000, China., He XL; Sichuan Chuanjiang Science and Technology Research Institute Co., Ltd, Luzhou, 646000, China., Han YM; Beijing Physical Examination Center, Beijing, China., Deng KJ; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Yan D; Beijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China., Yang H; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China. Electronic address: huiyang@cuit.edu.cn., Tang H; School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China; Basic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Luzhou, 646000, China. Electronic address: huatang@swmu.edu.cn., Lin H; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China. Electronic address: hlin@uestc.edu.cn.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Feb; Vol. 169, pp. 107952. Date of Electronic Publication: 2024 Jan 05.

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