Author

Mariana Pereira Pinho

John Radcliffe HospitalORCID 0000-0002-5759-2436Unclaimed 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· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Agne AntanaviciuteiD· 1 shared Alison SimmonsiD· 1 shared Chloe Hyun-Jung LeeiD· 1 shared Elie AntouniD· 1 shared Fadi IssaiD· 1 shared George AdigbliiD· 1 shared Hashem KoohyiD· 1 shared Jaesung HuhiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Agne AntanaviciuteORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 19, 2026

ClonoDeconv: reference-based α - β paired recurrent clonotype proportion estimation from bulk-TCR sequencing

Yuze Zhou, Elie Antoun, Mariana Pereira Pinho…·Tao Dong

ClonoDeconv estimates paired TCR clonotype proportions from bulk-TCR sequencing using a single-cell reference, capturing longitudinal T-cell clonal dynamics.

DOI 10.64898/2026.10.13.758550

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintDec 29, 2022

A robust deep learning platform to predict CD8+ T-cell epitopes

Chloe Hyun-Jung Lee, Jaesung Huh, Paul R. Buckley…·Hashem Koohy

This paper introduces TRAP, a deep learning platform for predicting CD8+ T-cell epitopes, which outperforms existing methods in cancer and pathogenic settings.

1 citation

deep learning

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