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Dades bibliogràfiques
Autor principal:	Merlini, Igor
Format:	Recurso digital
Idioma:	anglès
Publicat:	Zenodo 2026
Matèries:	post-mortem interval, PMI, transcriptomics, GTEx, brain, C1-Score, manifold learning, molecular clock, Shannon entropy, Lasso, network co-expression, systems biology
Accés en línia:	https://doi.org/10.5281/zenodo.20411145
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This repository contains the computational notebooks and supporting data for the paper "Dynamics of the Post-Mortem Transcriptome: A Constrained Manifold Approach to Biological Decay" (Merlini, 2026). Contents: - Notebook 1: C1-Score framework, PCA manifold reconstruction, Lasso regression clock, Shannon entropy analysis, topological robustness (Mantel test) - Notebook 2: Post-mortem network co-expression convergence analysis, null model, Kolmogorov–Smirnov testing The analysis uses publicly available GTEx V8 brain transcriptomic data (dbGaP accession phs000424.v8.p2). All notebooks are fully reproducible and also available on Kaggle (see Related works). Key results: Lasso clock R²=0.924 (MAE=1.39h) on independent validation set; network synchronization Δ|ρ|=+0.057 (Z=4.42, p<0.0001); RIN independence confirmed (r<0.05).

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