Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components

DOI10.1080/02664763.2016.1142941OpenAlexW2262219949MaRDI QIDQ5138188

Ahmed Hossain, Hafiz Tareq Abdullah Khan

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://repository.uwl.ac.uk/id/eprint/3418/1/Dasatinib_AH.pdf

zbMATH Keywords

clusteringprincipal component analysisdifferential gene expressionsparse principal component analysisarea under receiver operating characteristic curve

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• Bioconductor
• gcrma
• elasticnet
• limma
• siggenes
• PMA

Cites Work

• Unnamed Item
• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
• Significance analysis of microarrays applied to the ionizing radiation response
• Selecting Differentially Expressed Genes from Microarray Experiments
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Empirical Bayes Analysis of a Microarray Experiment
• An Improved Method on Wilcoxon Rank Sum Test for Gene Selection from Microarray Experiments
• Application of skew-normal distribution for detecting differential expression to microRNA data

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