期刊论文、会议论文

Hu, Xiaohua

英文

2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

2156-1125

2017

2017-January

604-607

Biological Ontologies and Knowledge Bases Workshop at IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)

IEEE International Conference on Bioinformatics and Biomedicine-BIBM

NOV 13-16, 2017

Kansas City, MI

[Shen, Xianjun;Zhu, Xianchao;Jiang, Xingpeng;He, Tingting;Hu, Xiaohua] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.

IEEE, IEEE Comp Soc, IEEE Tech Comm Computat Life Sci

Hu, XH Shyu, CR Bromberg, Y Gao, J Gong, Y Korkin, D Yoo, I Zheng, JH

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-3050-7

10.1109/BIBM.2017.8217720

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; National Key Research and Development Program of China [2017YFC0909502]; International Cooperation Project of Hubei Province [2014BHE0017]; Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU17TS0003, CCNU16JYKX018]

本校为第一且通讯机构

From a biological standpoint, due to the special combination of complex symptoms, some type of complex diseases is difficult to be accurately diagnosed. Known as phenotypic overlap, these sets of disease-related symptoms reveal a common pathological and physiological mechanism. Researchers attempt to visualize the phenotypic relationships between different human diseases from the perspective of machine learning, but traditional methods of visualizing high-dimensional data objects into low-dimensional would be subject to fundamental limitations ...