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Artificial Image Objects for Classification of Breast Cancer Biomarkers with Transcriptome Sequencing Data and Convolutional Neural Network Algorithms

2021-02-03

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Transcriptome sequencing has been broadly available in clinical studies. However, it remains a challenge to utilize these data effectively to due to the high dimension of the data and the high correlation of gene expression. <bold>Methods:</bold> We propose a novel method that transforms RNA sequencing data into artificial image objects (AIOs) and apply convolut...

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Literature Corpus work
0e1d5907-744a-5c3d-b502-9d912efce539
DOI
10.21203/rs.3.rs-159375/v1
Open publication

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Artificial Image Objects for Classification of Breast Cancer Biomarkers with Transcriptome Sequencing Data and Convolutional Neural Network AlgorithmsDOI 10.21203/rs.3.rs-159375/v1
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