- 👩🔬 PhD student in Computational Biology.
- 🧬 Research interests in Cancer biology and Immunooncology.
- 🔭 Currently working in modeling multiscale and multicellular systems in Cancer Biology.
- 💻 Experienced working with transcriptomics data (bulk and scRNAseq), cell deconvolution, machine learning, data visualization, and data analysis in R and Python.
- 👨💻 Additional experience using computational tools for genome editing (CRISPR Cas9, gRNAs, Zinc Fingers).
- 🌱 Interested in learning about spatial transcriptomics, reinforcement learning and epigenomics.
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Cancer Research Center of Toulouse
- Toulouse, France
- mhurtado13.github.io/
- in/marcelo-hurtado
- @marcelohurt13
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VeraPancaldiLab/multideconv
VeraPancaldiLab/multideconv PublicIntegrative pipeline for cell type deconvolution from bulk RNAseq using first and second generation methods
R 2
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VeraPancaldiLab/pipeML
VeraPancaldiLab/pipeML PublicA robust R machine learning pipeline for classification tasks and survival analysis.
R
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NLC-CLL_HPC_exploration
NLC-CLL_HPC_exploration PublicHPC exploration of parameters for NLC-CLL physicell model
Jupyter Notebook
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VeraPancaldiLab/LungPredict1_paper
VeraPancaldiLab/LungPredict1_paper PublicProfiling the Non-Small Cell Lung Cancer (NSCLC) microenvironment by integrating transcriptomics to uncover potential phenotypic profiles associated to patterns in immune infiltration
R 3
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VeraPancaldiLab/multideconv_paper
VeraPancaldiLab/multideconv_paper PublicRepository containing the analysis and results for the multideconv paper
R
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