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Identification effective diagnosis biomarkers and immune cell infiltration in liver cancer by bioinformatics analysis and machine learning algorithm

2023-06-06

Abstract excerpt

<h4>Objective: </h4> The aim of this study was to identify the key diagnosis biomarkers of abnormal expression and immune infiltration in liver cancer based on bioinformatics analysis and machine learning algorithm. Methods Three microarray datasets were obtained from Gene Expression Omnibus database, of which GSE88389 and GSE121248 were defined as training sets and GSE45436 was defined as a validation set. Diffe...

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Literature Corpus work
2e157036-7d25-5b81-b881-041b082da273
DOI
10.21203/rs.3.rs-2970475/v1
Open publication

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Identification effective diagnosis biomarkers and immune cell infiltration in liver cancer by bioinformatics analysis and machine learning algorithmDOI 10.21203/rs.3.rs-2970475/v1
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