Author

Lydia Valtadoros

University of Colorado AnschutzORCID 0009-0003-8596-0800Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Arjun KrishnaniD· 2 shared Hao YuaniD· 2 shared Kayla A JohnsoniD· 2 shared Mansooreh AhmadianiD· 2 shared Parker HicksiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersGenomics

Arjun KrishnanORCID

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2 papers

Recent·Most cited

Large-scale automated detection reveals pervasive sex imbalance in biomedical research

Lydia Valtadoros, Parker Hicks, Hao Yuan, Mansooreh Ahmadian, Kayla A Johnson, Arjun Krishnan

This paper quantifies sex imbalance in biomedical research by analyzing transcriptome samples and study metadata, revealing male-skewed representation in many disease areas.

bioRxiv · Jul 14, 2026 · PreprintGenomics

Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata

Hao Yuan, Parker Hicks, Mansooreh Ahmadian, Kayla A Johnson, Lydia Valtadoros, Arjun Krishnan

This paper introduces txt2onto 2.0, a method for annotating biomedical metadata with disease and tissue terms using interpretable machine learning, showing improved performance over its predecessor.

Briefings in Bioinformatics · Nov 22, 2024Peer-reviewedBioinformatics