Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

Comparing alternative pipelines for cross-platform microarray gene expression data integration with RNA-seq data in breast cancer

Background: According to major public repositories statistics an overwhelming majority of the existing and newly uploaded data originates from microarray experiments. Unfortunately, the potential of this data to bring new insights is limited by the effects of individual study-specific biases due to small number of biological samples. Increasing sample size by direct microarray data integration ...

Diagnosis of Breast Cancer Subtypes using the Selection of Effective Genes from Microarray Data

Introduction: Early diagnosis of breast cancer and the identification of effective genes are important issues in the treatment and survival of the patients. Gene expression data obtained using DNA microarray in combination with machine learning algorithms can provide new and intelligent methods for diagnosis of breast cancer. Methods: Data on the expression of 9216 genes from 84 patients across...

cDNA Microarray Data Normalization

Making microarray and RNA-seq gene expression data comparable

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evaluation of different classification models to extract gene signatures for breast cancer recurrence using microarray data

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