Literature DB >> 20423017

Cross-platform microarray data integration using the normalised linear transform.

Huilin Xiong1, Ya Zhang, Xue-Wen Chen, Jiangsheng Yu.   

Abstract

Small sample size is one of the biggest challenges in microarray data analysis. With microarray data being dramatically accumulated, integrating data from related studies represents a natural way to increase sample size so that more reliable statistical analysis may be performed. In this paper, we present a simple and effective integration scheme, called Normalised Linear Transform (NLT), to combine data from different microarray platforms. The NLT scheme is compared with three other integration schemes for two tasks: classification analysis and gene marker selection. Our experiments demonstrate that the NLT scheme performs best in terms of classification accuracy, and leads to more biologically significant marker genes.

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Year:  2010        PMID: 20423017     DOI: 10.1504/ijdmb.2010.032168

Source DB:  PubMed          Journal:  Int J Data Min Bioinform        ISSN: 1748-5673            Impact factor:   0.667


  2 in total

1.  Combining evidence of preferential gene-tissue relationships from multiple sources.

Authors:  Jing Guo; Mårten Hammar; Lisa Oberg; Shanmukha S Padmanabhuni; Marcus Bjäreland; Daniel Dalevi
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

2.  The Cross-Entropy Based Multi-Filter Ensemble Method for Gene Selection.

Authors:  Yingqiang Sun; Chengbo Lu; Xiaobo Li
Journal:  Genes (Basel)       Date:  2018-05-17       Impact factor: 4.096

  2 in total

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