Supplementary materials: Predicting candidate genes from phenotypes, functions, and anatomical site of expression

Journal article

Peer reviewed

Jun Chen, Azza Althagafi and Robert Hoehndorf

Bioinformatics (Oxford, England), Vol.37(6)

15/03/2021

Abstract

Biochemical Research Methods

Biochemistry & Molecular Biology

Biotechnology & Applied Microbiology

Computer Science

Computer Science, Interdisciplinary Applications

Life Sciences & Biomedicine

Mathematical & Computational Biology

Mathematics

Physical Sciences

Science & Technology

Statistics & Probability

Technology

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Title: Supplementary materials: Predicting candidate genes from phenotypes, functions, and anatomical site of expression
Creators - without role: Jun Chen - King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr CBRC, Comp Elect & Math Sci & Engn Div, 4700 KAUST, Thuwal, Saudi Arabia
Azza Althagafi - King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr CBRC, Comp Elect & Math Sci & Engn Div, 4700 KAUST, Thuwal, Saudi Arabia
Robert Hoehndorf - King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr CBRC, Comp Elect & Math Sci & Engn Div, 4700 KAUST, Thuwal, Saudi Arabia
Publication Details: Bioinformatics (Oxford, England), Vol.37(6)
Publisher: Oxford Univ Press
Number of pages: 5
Identifiers: 9911229508331
Academic Unit: Taif University; King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article