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Sérgio Assunção Monteiro

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#explainable ai Open access Sep 2026

Non-extensive statistics of the glioblastoma transcriptome: analysis code, derived results and validation-cohort inputs

Analysis code, derived result tables, figures and validation-cohort inputs for a study of non-extensive (Tsallis) statistics in the glioblastoma transcriptome. Expression deviations of each sample are fitted with q-Gaussian laws by maximum likelihood. In a longitudinal GLASS cohort (230 libraries from 115 IDH-wildtype...

Sérgio Assunção Monteiro, Fabrício Alves Barbosa da Silva · 0 citations
#diffusion models Open access Sep 2026

A new perspective on centroid algorithms for unsupervised discrete clustering in Riemannian manifolds: an approach via optimization

This work presents a new perspective on a specific class of partition-based algorithms for unsupervised discrete clustering in complete finite-dimensional Riemannian manifolds by introducing statistical shape analyses to classify clusters and improve label selection.

Ronaldo Malheiros Gregorio, Charlan Dellon da Silva Alves, Sérgio Assunção Monteiro et al. · 0 citations
#large language models Open access Sep 2026

Non-extensive statistics of the glioblastoma transcriptome: analysis code, derived results and validation-cohort inputs

Analysis code, derived result tables, figures and validation-cohort inputs for a study of non-extensive (Tsallis) statistics in the glioblastoma transcriptome. Expression deviations of each sample are fitted with q-Gaussian laws by maximum likelihood. In a longitudinal GLASS cohort (230 libraries from 115 IDH-wildtype...

Sérgio Assunção Monteiro, Fabrício Alves Barbosa da Silva · 0 citations

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