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Francisco Carrillo-Perez

PhD in machine learning applied to bioinformatics.

Granada (Spain)

carrilloperezfrancisco at gmail dot com

My blog

Researchgate

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CV

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Research Code

Code from research papers

Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models. [Code]


Synthetic whole-slide imaging tile generation with gene expression profiles infused deep generative models. [Code]


Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis. [Code]


Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. [Code]


Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals. [Code]


Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer. [Code]


Improving classification of ultra-high energy cosmic rays using spacial locality by means of a convolutional DNN. [Code]


KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. [Code]


Whiteness difference thresholds in dentistry. [Code]


Color difference thresholds for computer‐simulated human Gingiva. [Code]


Miscellaneous

SPOCU Python Package: SPOCU activation function in Pytorch and Tensorflow. [Code]