Adaptively capturing the heterogeneity of expression for cancer biomarker identification.

Xie, Xin-Ping; Xie, Yu-Feng; Liu, Yi-Tong; Wang, Hong-Qiang

Xie, Xin-Ping; Xie, Yu-Feng; Liu, Yi-Tong; Wang, Hong-Qiang.

Affiliation

Xie XP; School of Mathematics and Physics, Anhui Jianzhu University, Hefei, 230022, Anhui, China.
Xie YF; School of Mathematics and Physics, Anhui Jianzhu University, Hefei, 230022, Anhui, China.
Liu YT; Institute of Intelligent Machines, Hefei Institutes of Physical Science, CAS, 350 Shushanhu Road, P.O.Box 1130, Hefei, 230031, Anhui, China.
Wang HQ; Present Address: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710100, China.

BMC Bioinformatics ; 19(1): 401, 2018 Nov 03.

Article in En | MEDLINE | ID: mdl-30390627

Subject(s)

Biomarkers, Tumor/genetics; Gene Expression Regulation, Neoplastic; Genetic Heterogeneity; Neoplasms/genetics; Computer Simulation; Gene Expression Profiling; Humans; Models, Genetic; Oligonucleotide Array Sequence Analysis; Probability; Sequence Analysis, RNA; Software; Transcriptome

Key words

Cancer biomarkers; Differential expression; Expression complexity; Regulation probability; Transcriptomics data

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Gene Expression Regulation, Neoplastic / Genetic Heterogeneity / Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2018 Type: Article Affiliation country: China

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