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Data · dataset · 2021

Associated data underlying the paper:Identification of Hub Genes Associated With Cervical Cancer by Integrated Bioinformatics Analysis

Listed in ScienceDB

These data sets are the analysis files used in article ''Identification of Hub Genes Associated With Cervical Cancer by Integrated Bioinformatics Analysis'', obtained from public databases GEO and TCGA respectively.

Description

It contains 6 Excel files, which are described below:GSE63514.xlsx: The expression data of tumor group and control group in dataset GSE63514 were included.GSE9750.xlsx: The expression data of tumor group and control group in dataset GSE9750 were included.GEO-merge.xlsx: Data sets GSE63514 and GSE9750 were merged and standardized to obtain the total expression data.Clinical.xlsx: Clinical data of CESC patients in TCGA database.TCGA_RPKM.xlsx:The expression data of CESC patients (FPKM) in TCGA database was transformed into RPKM expression data by R software.Genelist.xlsx: It contains differentially expressed genes, genes of the most relevant modules in WGCNA, and a list of four part intersection genes.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 75% · Genetics 70%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.j00116.0000412 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[disease].local:disease:cancerenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3105enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (70%)
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