Back to search

Article

Differential gene expression analysis unravels key genes associated with breast cancer proliferation

2022-08-11

Abstract excerpt

<title>Abstract</title> <p>Background: Improved understanding of breast cancer (BC) complex molecular pathways is required to predict prognosis and develop new therapeutic strategies. The purpose of this study is to apply an integrated approach that combine both clinical and bioinformatic data to reveal novel regulators of proliferation. <h4>Methods and Results:</h4> Whole slide images generated from haematoxylin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9cdd2754-f5a3-5a19-bc56-0b9441fb20da
DOI
10.21203/rs.3.rs-1906644/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Differential gene expression analysis unravels key genes associated with breast cancer proliferationDOI 10.21203/rs.3.rs-1906644/v1
Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.Semantic proximity
Demystifying the Role of Prognostic Biomarkers in Breast Cancer through Integrated Transcriptome and Pathway Enrichment AnalysesSemantic proximity
Demystifying the role of prognostic biomarkers in breast cancer through integrated transcriptome and pathway enrichment analysesSemantic proximity
Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic AnalysisSemantic proximity
Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools.Semantic proximity
Identification of prognostic biomarkers of invasive ductal carcinoma by an integrated bioinformatics approachSemantic proximity
Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysisSemantic proximity
Identification of Candidate Biomarkers Correlated Poorer Prognosis of Breast Cancer via Bioinformatics MethodSemantic proximity
Identification of Novel Hub Genes and Key Pathways Associated with Breast Cancer Through Various Classification ModelsSemantic proximity
Exploration of Core Genes Signature and Prognostic Implication for Ductal Carcinoma In Situ of the BreastSemantic proximity
Up-regulation of FN1, Activation of Maturation Promoting Factor and Associated Signaling Pathway Facilitates Epithelial-Mesenchymal Transition, Inhibits Apoptosis and Elevates Proliferation Rate of Breast Cancer Cells: In Silico Analysis of Microarray DatasetsSemantic proximity
Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validationSemantic proximity
Select a neighboring publication to make it the new centre.