Author

Kola Babalola

European Bioinformatics InstituteORCID 0000-0003-1384-8433Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Hamed HaselimashhadiiD· 2 shared Violeta Muñoz‐FuentesiD· 2 shared A. YoldaşiD· 1 shared Alexandr BezginoviD· 1 shared Angelina Gaspero· 1 shared Ann Marie FlennikeniD· 1 shared Ann‐Marie MalloniD· 1 shared Arturo Garza· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Hamed HaselimashhadiORCID

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3 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedAug 19, 2024

WebAtlas pipeline for integrated single cell and spatial transcriptomic data

Tong Li, Dave Horsfall, Daniela Basurto-Lozada…·Omer Ali Bayraktar

WebAtlas integrates single cell and spatial transcriptomic data into a cloud-optimised format for interactive exploration.

33 citationstop 4%

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BioinformaticsMammalian GenomePeer-reviewedMay 8, 2023

A consensus score to combine inferences from multiple centres

Hamed Haselimashhadi, Kola Babalola, Robert J. Wilson…·Violeta Muñoz‐Fuentes

The paper introduces a consensus score method to combine statistical results from multiple resources and applies it to detect sexual dimorphism in haematological data from the IMPC.

1 citation

mousebulk RNA-seq

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BioinformaticsBioinformaticsPeer-reviewedOct 4, 2019

Soft Windowing Application to Improve Analysis of High-throughput Phenotyping Data

Hamed Haselimashhadi, Jeremy Mason, Violeta Muñoz‐Fuentes…·Terrence F. Meehan

The paper introduces a method called soft windowing to improve analysis of high-throughput phenotyping data by reducing false positives and increasing significant results.

11 citations

mouseproteomics

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