PhD in machine learning applied to bioinformatics.
Granada (Spain)
carrilloperezfrancisco at gmail dot com
pacocp pacocp9 franciscocpDigital 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 computerâsimulated human Gingiva. [Code]
SPOCU Python Package: SPOCU activation function in Pytorch and Tensorflow. [Code]