Author

Helena Gómez-Martínez

Centro de Investigacion Principe FelipeORCID 0000-0001-8714-5197Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Francisco Garcia‐GarcíaiD· 3 shared Marta R. HidalgoiD· 3 shared Borja Gómez-CabañesiD· 2 shared María de la Iglesia-VayáiD· 2 shared Rubén Grillo-RiscoiD· 2 shared Adolfo López‐CerdániD· 1 shared Amparo GalániD· 1 shared Beatriz Dolader-Rabinad· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Francisco Garcia‐GarcíaORCID

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3 papers

Recent·Most cited

BioinformaticsBiology of Sex DifferencesPeer-reviewedAug 27, 2024

MetaFun: Unveiling sex differences in multiple omics studies through comprehensive functional meta-analysis

Pablo Malmierca-Merlo, Rubén R. Sánchez, Rubén Grillo-Risco…·Francisco Garcia‐García

MetaFun performs functional meta-analysis of transcriptomic datasets to uncover sex differences across multiple omics studies.

3 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky

Cancer BiologybioRxivPreprintOct 20, 2023

Meta-analysis of the melanoma miRNome identifies consensus signatures of progression and prognosis regulating metabolic plasticity and stress resistance

Borja Gómez-Cabañes, Helena Gómez-Martínez, Cristina Galiana‐Roselló…·Francisco Garcia‐García

This study identifies miRNA signatures associated with melanoma progression and prognosis by integrating transcriptomic data and analyzing miRNA-mRNA interactions.

1 citation

humanbulk RNA-seq

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GenomicsbioRxivPreprintDec 4, 2021

Assessment of Sex Bias in Housekeeping Gene Expression in Adipose Tissue Through the Massive Analysis of Transcriptomics Data

María Guaita-Céspedes, Rubén Grillo-Risco, Marta R. Hidalgo…·Francisco Garcia‐García

This paper evaluates sex bias in housekeeping gene expression in adipose tissue using transcriptomics data and identifies sex-unbiased housekeeping genes suitable for use as internal controls.

DOI 10.1101/2021.12.04.471124

𝕏 PostBluesky