Author

Patrick Terrematte

Universidade Federal do Rio Grande do NorteORCID 0000-0002-0385-0030Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Beatriz StranskyiD· 2 shared Adrião Duarte Dória NetoiD· 1 shared Débora V. C. LimaiD· 1 shared Epitácio FariasiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersCancer Biology

Beatriz StranskyORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJul 10, 2025

Explainable AI and Multiclassifiers for Staging Biomarker Discovery in Lung Squamous Cell Carcinoma

Débora V. C. Lima, Patrick Terrematte, Beatriz Stransky, Adrião Duarte Dória Neto

This study uses machine learning and explainable AI to identify potential staging biomarkers in lung squamous cell carcinoma using TCGA-LUSC gene expression data.

DOI 10.1101/2025.07.10.663226

humanbulk RNA-seq

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BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedApr 11, 2024

Machine Learning Gene Signature to Metastatic ccRCC based on ceRNA Network

Epitácio Farias, Patrick Terrematte, Beatriz Stransky

This paper develops an 11-gene signature for metastatic clear cell renal cell carcinoma using a ceRNA network, showing good generalization and associations with survival and metastasis.

5 citations

humanbulk RNA-seq

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