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Linfopeter/README.md

Hi, my name is Pedro.

I am a physician-scientist (MD, PhD in Biomedical Sciences) specialized in computational oncology, tumor immunology, and high-dimensional biological data analysis.

My work focuses on integrating bulk and single-cell transcriptomics, machine learning, systems biology, and quantitative modeling to investigate tumor ecosystems, immune suppression, and cancer-associated cellular programs. I develop reproducible computational pipelines and data-driven analytical frameworks for the characterization of complex biological systems, particularly in cancer and translational medicine.

My research combines RNA sequencing, high-dimensional and spectral flow cytometry, immune profiling, and computational modeling to study tumor heterogeneity, cellular plasticity, and regulatory molecular networks, including long non-coding RNAs (lncRNAs).

I am particularly interested in the intersection of computational biology, cancer systems biology, and translational genomics, with emphasis on building scalable analytical workflows for multi-omics integration and biologically interpretable machine learning applications in biomedical research.

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  1. Prostate_cancer Prostate_cancer Public

    Scripts for an extensive RNA-seq analysis in three cohorts of prostate cancer patients.

    Shell

  2. supply-chain-ml-optimization supply-chain-ml-optimization Public

    Python

  3. GSE130116-single-cell-BMMAP GSE130116-single-cell-BMMAP Public

    Single-cell RNA-seq pipeline for bone marrow ecosystem mapping in pediatric B-ALL using GSE130116 and BoneMarrowMap.

    R

  4. TARGET-ALL-bulk-RNAseq TARGET-ALL-bulk-RNAseq Public

    Reproducible bulk RNA-seq pipeline for pediatric B-ALL transcriptomic stratification using TARGET-ALL-P2 data.

    R

  5. CytometryInR CytometryInR Public

    Forked from UMGCCCFCSR/CytometryInR

    Course Website

    SCSS