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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Identification of A Blood-based 9-hub-gene Signature for Metabolic Syndrome by Machine Learning Algorithms and Integrated Bioinformatics Analysis

ABSTRACT: In this work, plasma samples of 5 metabolic syndrome patients and 5 healthy volunteers were collected. Then, high-throughput RNA sequencing was performed to detect the expression of plasma coding RNA.

INSTRUMENT(S): HiSeq X Ten

ORGANISM(S): Homo sapiens

SUBMITTER: Guanzhi Liu

PROVIDER: E-MTAB-10494 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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2022-09-14 | E-MTAB-11607 | biostudies-arrayexpress