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Danpc11/README.md

Daniel Pérez Calixto

Physicist (Ph.D.) working in computational biology at INMEGEN, Mexico's National Institute of Genomic Medicine, where I lead institutional bioinformatics. I also teach computational biology and physics at UNAM.

Most of what I build here follows one idea: a model earns trust by being falsifiable. Every project ships a validation that can fail, and says out loud where it should not be used.

What's here

  • NephroQ — mechanistic digital twin for type 2 diabetes → chronic kidney disease. Neural amortized inference recovers per-patient injury rate from sparse creatinine histories. Parameters are frozen on two published trials; a third is predicted out-of-sample.
  • CRC-digital-twin — colorectal cancer molecular subtyping as attractors of a continuous Hopfield network, on a 10-gene RT-qPCR-only panel. Externally validated on independent cohorts without recalibration.
  • Mechanogenomic Virtual Cell — links tissue stiffness to nuclear mechanotransduction and gene trajectories. Gene response directions are pre-registered before touching the RNA-seq.
  • Pipelines_Inmegen — Nextflow workflows for variant calling and expression analysis. The analytical backbone of my institute's genomics services.
  • lung-nematic and constructal_transcriptomics — nematic order in lung histology; co-expression networks in T2D progression.

Away from the keyboard I design organ-on-chip systems for pharmacological safety testing — first place, CANIFARMA 2025 Technological Research Award.

Google Scholar · LinkedIn · ORCID

Pinned Loading

  1. INMEGEN/Pipelines_Inmegen INMEGEN/Pipelines_Inmegen Public

    Flujos de trabajos desarrollados y automatizados en el Intituto Nacional de Medicina Genómica para el procesamiento de datos genómicos y transcriptómicos.

    Nextflow 10 1

  2. mechanogenomic-virtual-cell mechanogenomic-virtual-cell Public

    Mechanogenomic virtual-cell model linking substrate stiffness, nuclear mechanotransduction, YAP/TAZ activity, and fibrosis-associated transcriptional trajectories.

    Python 1

  3. nephroq nephroq Public

    Mechanistic digital twin for Type 2 Diabetes → CKD, modeling renal decline through hyperfiltration dynamics, interpretable parameters, Bayesian inference, and AI.

    Python 1 1

  4. CRC-digital-twin CRC-digital-twin Public

    Mechanistic digital twin for CRC molecular subtyping (CMS1-4) via Hopfield attractor dynamics — RT-qPCR-only panel, calibrated against real cohorts.

    Python 2

  5. lung-nematic lung-nematic Public

    A modular Python pipeline for quantifying nematic organization and detecting candidate topological defects in lung histology images

    Python 1

  6. TissueSpectF TissueSpectF Public

    Spectral (FFT) analysis of chromosome-ordered gene expression in liver fibrosis, with reproducible multi-dataset ingestion from GEO.

    R 2