Jordi

Se buscan candidatos/as para solicitar ayuda #FPU para la realización de la tesis doctoral en bioinformática aplicada a enfermedades neurodegenerativas. Lugar de trabajo: Valencia. ‼️Posibilidad de contratación antes de la resolución de concesión

In our new paper we present singleDeep, a ML-based method for predicting sample phenotypes from single cell RNAseq. If you want to try use it, methodology and code is avaiable at academic.oup.com/bib/article/26… @genyo_pts @CanalUGR

Looking for an end-to-end pipeline for the analysis of #scRNASeq data training #DeepNN, enabling robust prediction and characterization of sample #phenotypes? Try #singleDeep, by Jordi Martorell-Marugán & coauthors! academic.oup.com/bib/article/26… @FBK_research @MarcoChierici

Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

Desde @BioinfoGenyo asistimos al I congreso de la @SEBiBC_es , donde @JordiBioinfo presentó nuestro último trabajo sobre predicción de fenotipos a partir de scRNA-seq #congresosebibc2024

Our new paper is out! Great effort of @ivanellson et al. to define a microRNA signature as outcome predictor in AML. nature.com/articles/s4152… @genyo_pts @CanalUGR

¡Atención! Marca en tu calendario la nueva fecha para las Jornadas Andaluzas de Bioinformática 2024. Del 24 al 26 de Junio en Granada. Pronto tendréis el programa disponible, el registro y el envío de contribuciones.

📍BioinfoGRX participará en las VIII jornadas de Bioinformática de la UGR. Nuestros integrantes Mireia, Erica y Samuel nos representarán en la actividad 'Q&A: Formación Bioinformática en España'

Our new paper Machine Learning Applications in Parkinson’s Disease is out eurekaselect.com/article/130726 Great coll. @JordiBioinfo @DSH_Lab @Giuseppe_Jurman @MarcoChierici & @sarabandres1 @genyo_pts @CanalUGR

Our new work on the classification of ADs is out, multiomics + Machine Learning. Great work of @JordiBioinfo and col. with @DSH_Lab ... sciencedirect.com/science/articl…

Happy to see our new work out at @BriefingBioinfo. A method to link patient molecular signatures with clinical manifestations in autoinmune diseases. Coll. with M. Alarcon's lab. Great effort of @DTordom and @JordiBioinfo academic.oup.com/bib/advance-ar…

New Special Issue in #mdpibiomedicines: Omics Data Analysis and Integration in Complex Diseases 2.0 mdpi.com/si/126516, edited by @BioinfoGenyo (PI: @pcarmonasaez) and @DSH_Lab (PI: @Giuseppe_Jurman) labs members

Happy to share our last publication, great work by @EidrianGM and @raul_lopezd in col. with @MichaelHackenbe group, @alberpasc @JordiBioinfo and colleages. New method for EA of regulatory elements and new release of our classic software tool genecodis mdpi.com/1526204

Seguimos las #IXJornadasCientificas con la “Resesecher with a PhD, Translational research session” con Jordi Martorell Marugán como primer ponente.

📣📣 REMINDER 📣📣 📣 BIOINFOCLUB DECEMBER 2021 📣 💥 From Information Theory to Systems Biology: High Entropy Genes 🗓️ 14th December 🕖 From 19 to 20 p.m, CET 📚 Speaker: 👉 Mikel Hernaez, PhD (CIMA, University of Navarra) buff.ly/3m2oZUh

Oferta de trabajo bajo proyecto de investigación para bioinformatico desarrollador de software.

Reading ML bio literature, I noticed Matthews correlation coefficient (vs other metrics for assessing ML classifiers) is quite popular. Usually, I stick to precision, recall, and F1 for interpretability reasons, but this article is really convincing: bmcgenomics.biomedcentral.com/articles/10.11… 🧵

‼️Al fin, publicación en @NatureComms «Placental DNA methylation signatures of maternal smoking during pregnancy and potential impacts on fetal growth» de @PACE_Consortium, con nuestra cohorte de nacimiento GENEIDA (@EASPsalud, @genyo_pts, @BioinfoGenyo) nature.com/articles/s4146…

Congrats to Jordi and Pedro Carmona @BioinfoGenyo @bioinfGRX for this pipeline: Differentially Methylated Promoters in Genes related to disease phenotype with R @CanalUGR @genyo_pts bio-protocol.org/mv2/e4033#.YRe…

Buscamos postdoc en bioinformática, estadística, informática… con experiencia en análisis de datos omicos. Más información en compbio.ugr.es interesados/as contacto por mail incluyendo cv