Francisco Carrillo Pérez's repositories
Deep-Learning-para-diagnostico-a-partir-de-imagenes-Biomedicas
:bar_chart: Deep Learning para diagnóstico a partir de imágenes biomédicas, TFG
WSI-Pancreas-Classification
Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection - Cancer Imaging
NSCLC-multimodal-classification
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion - BMC Bioinformatics
classification-cosmic-rays-pytorch
:books: Code for paper "Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by means of a Convolutional DNN", IWANN 2019
multiomic-fusion-NSCLC
Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis - Journal of Personalized Medicine
Pytorch-TallerPythonGranada
:computer: Brevísima introducción al Deep Learning con Pytorch (NB in English)
spocu-pytorch
:package: Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
pacocp.github.io
Personal webpage
RNA-CNV-fusion-comparison
Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer - BIOMESIP'2021
SSL-Survival
:computer: Code for the paper: "Self-supervised multimodal pre-training for lung adenocarcinoma overall survival prediction" (BIOCOMP'2022)
deep-learning-UHECR-PMT-signals
Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals - Neural Computing and Applications
Awesome-Bioinformatics
A curated list of awesome Bioinformatics libraries and software.
blog
Build a Jekyll blog in minutes, without touching the command line.
Cracking-the-Coding-Interview
:computer: My solutions for the Cracking the Coding Interview Book 6th Edition
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
photography
Simple photo gallery to display some of the photos from my trips
sim3C
Read-pair simulation of 3C-based sequencing methodologies (HiC, Meta3C, DNase-HiC)