Author

Alos Diallo

Dartmouth HealthORCID 0000-0002-6471-4630Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aruesha SrivastavaiD· 1 shared Brian P. JacksoniD· 1 shared Cecília B. CavazzoniiD· 1 shared Elijah W. StommeliD· 1 shared Fred KollingiD· 1 shared Hrishikesh Deosthali· 1 shared Jiaoyuan Elisabeth SuniD· 1 shared Jonathan D. MarottiiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Aruesha SrivastavaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Integrative Co-Registration of Elemental Imag-ing and Histopathology for Enhanced Spatial Multimodal Analysis of Tissue Sections through TRACE

Yunrui Lu, Serin Han, Aruesha Srivastava, Neha Shaik, Matthew Chan, Alos Diallo, Naina Kumar, Nishita Paruchuri, Hrishikesh Deosthali, Vismay Ravikumar, Kevin Cornell, Elijah W. Stommel, Tracy Punshon, Brian P. Jackson, Fred Kolling, , Joshua Levy

TRACE co-registers elemental imaging and histopathology to enable spatial analysis of tissue sections through a web application.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedBioinformatics

Integration of Diverse Transcriptomics Datasets using Random Forest to Predict Universal Functional Pathways in Tfr Cells

Alos Diallo, Cecília B. Cavazzoni, Jiaoyuan Elisabeth Sun, Peter T. Sage

This paper develops a core Tfr cell gene module using random forest to predict functional pathways, available for GSEA analysis across diverse datasets.

bioRxiv · Nov 29, 2021 · PreprintBioinformatics