Author

Jessica Patricoski

Brown UniversityORCID 0000-0003-4149-4150Unclaimed 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· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Ece Dilber Gamsiz UzuniD· 2 shared Ritambhara SinghiD· 2 shared Christopher G. AzzoliiD· 1 shared Jeremy L Warner· 1 shared Jeremy Lyle WarneriD· 1 shared Karma HayekiD· 1 shared Seema NagpaliD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Ece Dilber Gamsiz UzunORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 18, 2026

A Multimodal Neural Network Model for Early Recurrence Prediction in Lung Adenocarcinoma

Jessica Patricoski, Karma Hayek, Ritambhara Singh…·Ece Dilber Gamsiz Uzun

The paper develops a deep learning model called PLASMA to predict early recurrence of lung adenocarcinoma using clinical, mRNA expression, and mutation data, achieving high AUROC scores in validation sets.

DOI 10.64898/2026.05.14.725244

humanbulk RNA-seq

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BioinformaticsCommunications MedicinePeer-reviewedAug 19, 2025

LUNAR: A Deep Learning Model to Predict Glioma Recurrence Using Integrated Genomic and Clinical Data

Jessica Patricoski, Seema Nagpal, Ritambhara Singh…·Ece Dilber Gamsiz Uzun

LUNAR predicts glioma recurrence by integrating clinical, genomic, and mRNA expression data from grade II-IV glioma patients.

12 citationstop 2%

humanbulk RNA-seq

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