Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components
Article
Hossain, A. and Khan, H. 2016. Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components. Journal of Applied Statistics. 43 (14), pp. 2538-2549. https://doi.org/10.1080/02664763.2016.1142941
Type | Article |
---|---|
Title | Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components |
Authors | Hossain, A. and Khan, H. |
Abstract | Background: Differential analysis techniques are commonly used to offer scientists a dimension reduction procedure and an interpretable gateway to variable selection, especially when confronting high-dimensional genomic data. Huang et al. used a gene expression profile of breast cancer cell lines to identify genomic markers which are highly correlated with in vitro sensitivity of a drug Dasatinib. They considered three statistical methods to identify differentially expressed genes and finally used the results from the intersection. But the statistical methods that are used in the paper are not sufficient to select the genomic markers. |
Research Group | Centre for Investigative and Diagnostic Oncology |
Biomarkers for Cancer group | |
Publisher | Taylor & Francis (Routledge) |
Journal | Journal of Applied Statistics |
ISSN | 0266-4763 |
Publication dates | |
Online | 12 Feb 2016 |
25 Oct 2016 | |
Publication process dates | |
Deposited | 05 Jan 2016 |
Accepted | 13 Jan 2016 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Applied Statistics on 12/02/16, available online: http://www.tandfonline.com/10.1080/02664763.2016.1142941 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/02664763.2016.1142941 |
Language | English |
https://repository.mdx.ac.uk/item/8617x
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