Author

Nima Pouladi

University of ArizonaORCID 0009-0002-2151-7052Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Yves A. LussieriD· 2 shared Colleen Kenost· 1 shared Dillon T. Aberasturi· 1 shared Joanne BerghoutiD· 1 shared Liam S. WilsoniD· 1 shared Mahdieh ShabanianiD· 1 shared Mattia ProsperiiD· 1 shared Samir Rachid ZaimiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Yves A. LussierORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 3, 2025

Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small Cohorts

Mahdieh Shabanian, Nima Pouladi, Liam S. Wilson…·Yves A. Lussier

This paper develops a framework combining paired-sample dynamics, pathway-based analytics, and MLOps to improve transcriptomic classification in small cohorts, achieving high precision and recall in case studies.

DOI 10.1101/2025.06.03.657721

humanbulk RNA-seq

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BioinformaticsBioinformaticsPeer-reviewedApr 27, 2021

"Single-subject studies"-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases

Dillon T. Aberasturi, Nima Pouladi, Samir Rachid Zaim…·Yves A. Lussier

The paper introduces Inter-N-of-1, a method to detect biomechanism differences in small cohorts by analyzing single-subject transcriptome data, showing high precision and recall in simulations and a clinical dataset.

7 citations

humanbulk RNA-seq

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