Stars
Machine Learning Journal for Intermediate to Advanced Topics.
FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images.
Meta-analysis of drug target evidence in single-cell data
A pan-tissue pan-cancer compendium of human orphan genes
CeLEry: cell location recovery in single-cell RNA sequencing
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
STAT3 activation is central to TGF-β1 mediated primary human hepatic stellate cell activation
High resolution molecular and histological analysis of renal disease progression in ZSF1 (fa/fa cp) rats, a model of type 2 diabetic nephropathy
An interactive explorer for single-cell transcriptomics data
scRNASequest: an ecosystem of scRNA-seq analysis, visualization and publishing. BMC Genomics 24, 228 (2023).
Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also…
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
bioInfograph: an online tool to design and display multi-panel scientific figure interactively
OmicsView: omics data analysis through interactive visual analytics
bioInfograph: an online tool to design and display multi-panel scientific figure interactively
Quickomics: exploring omics data in an intuitive, interactive and informative manner. Bioinformatics. 2021 Apr 26:btab255.
CellDepot: A unified repository for scRNA-seq data and visual exploration. J Mol Biol. 2021 Dec 28:167425. doi: 10.1016/j.jmb.2021.167425.
Accompanying code for the tutorial: Annotating single cell transcriptomic maps using automated and manual methods
Benchmarking gene and variant prioritization algorithms for GWAS data
The best design tools and plugins for everything 👉
R package that helps create and export ggplot2 charts in the style used by the BBC News data team
Recopilation of most revelant papers of the retinal image analysis via OCT
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit