Docker container for bioinformatics tools and pipelines
Collection of gene expression datasets
This project is an automated pipeline to generate annotated gene expression atlases for kingdoms of life
Reproducible transcriptomic analysis of glomerular lupus nephritis using GEO data (GSE32591), limma, and Python-based gene prioritization.
Single-cell and bulk RNA-seq analysis of T cell functional states associated with immunotherapy response in NSCLC.
This project develops a pipeline to classify the normal and gastric cancer samples through the data of gene expression. The transcriptomic data includes 267 samples and 11,903 genes. The data preprocessing and feature selection was performed for dimensionality reduction.
Single-cell RNA-seq analysis using combined lipid and antibody hashtag labeling.
Interstitial lung disease biomarker discovery using DIABLO. Integrates DNA methylation, transcriptome, and proteome. 30k features from 23 cases and 83 controls. Supervised learning model maximizing cross block covariance, adj R^2=0.73, 13 candidate biomarkers, with code and plots.
Este modelo emplea Aprendizaje profundo para la detección y subtipificación molecular del adenocarcinoma ductal pancreático (PDAC) mediante histopatología y transcriptómica.
Fast, interactive desktop app for exploring 3D spatial transcriptomics results from pciSeq
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