Author

Javier Pardo-Diaz

University of OxfordORCID 0000-0001-9262-0482Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Charlotte Mary DeaneiD· 3 shared Gesine ReinertiD· 3 shared Lyuba V. BozhilovaiD· 2 shared Mariano Beguerisse-DíaziD· 2 shared Philip Simon PooleiD· 2 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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3 shared papersBioinformatics

Charlotte Mary DeaneORCID

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3 papers

Recent·Most cited

Generating weighted and thresholded gene coexpression networks using signed distance correlation

Javier Pardo-Diaz, Philip Simon Poole, Mariano Beguerisse-Díaz, Charlotte Mary Deane, Gesine Reinert

The paper introduces a method to construct weighted gene coexpression networks using signed distance correlation, showing improved stability and biological information capture compared to Pearson correlation and unweighted networks.

Network Science · Jun 1, 2022Peer-reviewedBioinformatics

Robust gene coexpression networks using signed distance correlation

Javier Pardo-Diaz, Lyuba V. Bozhilova, Mariano Beguerisse-Díaz, Philip Simon Poole, Charlotte Mary Deane, Gesine Reinert

The paper introduces signed distance correlation to build gene coexpression networks from gene expression data, showing improved stability and biological relevance compared to Pearson or Spearman correlations.

Bioinformatics · Jan 20, 2021Peer-reviewedBioinformatics

COGENT: evaluating the consistency of gene co-expression networks

Lyuba V. Bozhilova, Javier Pardo-Diaz, Gesine Reinert, Charlotte Mary Deane

COGENT evaluates gene co-expression network consistency across different construction methods without external validation data.

Bioinformatics · Sep 3, 2020Peer-reviewedBioinformatics