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HEST: Bringing Spatial Transcriptomics and Histopathology together - NeurIPS 2024 (Spotlight)
Bayesian model for RNA velocity estimation of periodic manifolds
This repository contains all necessary data and scripts to run all spatial analysis conducted in MuSpAn: A Toolbox for Multiscale Spatial Analysis
CellANOVA: Cell State Space Analysis of Variance for signal recovery in single cell batch integration
ML Assistant for Competitive Machine Learning
End-to-end model for cell segmentation and classification
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…
Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.
The package wrapping the book, for deployment via the Bioconductor build system.
Deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes
"Principles of Spatial Transcriptomics Analysis with Bioconductor" book
Machine learning-based integration model with elegant performance
A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.
A toolkit of spatial transcriptomic analysis.
Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
Spatiotemporal modeling of spatial transcriptomics
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
R package pencal (development version). pencal is the R package that implements Penalized Regression Calibration (Signorelli et al., 2021), a method for the dynamic prediction of survival that can …