Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

被引：0

作者：

Argiris Sakellariou

Despina Sanoudou

George Spyrou

机构：

[1] Biomedical Research Foundation of the Academy of Athens,Biomedical Informatics Unit

[2] National & Kapodistrian Univ. of Athens,Department of Informatics and Telecommunications

[3] National & Kapodistrian Univ. of Athens,Pharmacology Department, Medical School

来源：

BMC Bioinformatics | / 13卷

关键词：

Amyotrophic Lateral Sclerosis; Partial Little Square; Random Forest; Duchenne Muscular Dystrophy; True Positive Rate;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 12 条

[1] Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data
Sakellariou, Argiris
Sanoudou, Despina
Spyrou, George
[J]. BMC BIOINFORMATICS, 2012, 13
[2] Lung Cancer Classification and Gene Selection by Combining Affinity Propagation Clustering and Sparse Group Lasso
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[3] Combining Multiple Clustering and Network Analysis for Discoveries in Gene Expression Data
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[7] Rough Set based Attribute Clustering for Sample Classification of Gene Expression Data
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[8] MULTIPLE HYPOTHESIS TESTING ADJUSTED FOR LATENT VARIABLES, WITH AN APPLICATION TO THE AGEMAP GENE EXPRESSION DATA
Sun, Yunting
Zhang, Nancy R.
Owen, Art B.
[J]. ANNALS OF APPLIED STATISTICS, 2012, 6 (04): : 1664 - 1688
[9] Combining multiple perspective as intelligent agents into robust approach for biomarker detection in gene expression data
Alshalalfa, Mohammed
Naji, Ghada
Qabaja, Ala
Alhajj, Reda
Rokne, Jon
[J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2011, 5 (03) : 332 - 350
[10] pySAPC, a python']python package for sparse affinity propagation clustering: Application to odontogenesis whole genome time series gene-expression data
Cao, Huojun
Amendt, Brad A.
[J]. BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 2016, 1860 (11): : 2613 - 2618

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