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Journal articles

bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses

Abstract : Breast cancer gene-expression miner' (bc-GenExMiner) is a breast cancer-associated web portal ( Here, we describe the development of a new statistical mining module, which permits several differential gene expression analyses, i.e. 'Expression' module. Sixty-two breast cancer cohorts and one healthy breast cohort with their corresponding clinicopathological information are included in bc-GenExMiner v4.5 version. Analyses are based on microarray or RNAseq transcriptomic data. Thirtynine differential gene expression analyses, grouped into 13 categories, according to clinicopathological and molecular characteristics ('Targeted' and 'Exhaustive') and gene expression ('Customized'), have been developed. Output results are visualized in four forms of plots. This new statistical mining module offers, among other things, the possibility to compare gene expression in healthy (cancer-free), tumour-adjacent and tumour tissues at once and in three triple-negative breast cancer subtypes (i.e. C1: molecular apocrine tumours; C2: basal-like tumours infiltrated by immune suppressive cells and C3: basal-like tumours triggering an ineffective immune response). Several validation tests showed that bioinformatics process did not alter the pathobiological information contained in the source data. In this work, we developed and demonstrated that bc-GenExMiner 'Expression' module can be used for exploratory and validation purposes.
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Contributor : Elizabeth Bernardo Connect in order to contact the contributor
Submitted on : Monday, September 20, 2021 - 2:48:35 PM
Last modification on : Wednesday, April 27, 2022 - 3:59:50 AM
Long-term archiving on: : Tuesday, December 21, 2021 - 6:54:30 PM


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Pascal Jézéquel, Wilfried Gouraud, Fadoua Ben Azzouz, Catherine Guérin-Charbonnel, Philippe Juin, et al.. bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses. Database - The journal of Biological Databases and Curation, Oxford University Press, 2021, 2021, pp.baab007. ⟨10.1093/database/baab007⟩. ⟨inserm-03349355⟩



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