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Francisco Carrillo-Perez

PhD in machine learning applied to bioinformatics.

Granada (Spain)

carrilloperezfrancisco at gmail dot com

My blog

Researchgate

Google Scholar

CV

pacocp pacocp9 franciscocp

Research Code

Code from research papers

Digital profiling of cancer transcriptomes with linearized attention. [Code]


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]