Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach

被引：0
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作者：
Masoud Arabfard
Mina Ohadi
Vahid Rezaei Tabar
Ahmad Delbari
Kaveh Kavousi
机构：
[1] Kish International Campus University of Tehran,Department of Bioinformatics
[2] University of Tehran,Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB)
[3] University of Social Welfare and Rehabilitation Sciences,Iranian Research Center on Aging
[4] Allameh Tabataba’i University,Department of Statistics, Faculty of Mathematical Sciences and Computer
来源：
BMC Genomics | / 20卷
关键词：
Genome-wide; Prioritization; Human aging genes; Positive unlabeled learning; Machine learning;
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