📊 Identify cell types and pathways affected by genetic risk loci.
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Updated
Feb 29, 2024 - C++
📊 Identify cell types and pathways affected by genetic risk loci.
a toolbox for manipulation of digital pathology slides and annotations
Sitio web de la Cátedra de Histología y Anatomía de la FIUNER
C++ libs for antiviruses + neural tissue modules (such as Assistants use) + data structures for general use. `/bin/sh` libs for console use. Markdown posts about autonomous tools. `trunk` is inactive, switch to https://github.com/SwuduSusuwu/SusuLib/tree/new or `preview` branch
Tissue segmentation and quantification on histopathological images
Python package to infer tensions and pressures from 3D microscopy images of embryos and tissues
Blockchain Proof of Concept for DaaNamChain. Organ, Tissue and Blood Donation.
Efficient data structures and IO for whole slide image analysis
SEGtool is an R package with self-adaptive function and high accuracy for specifically expressed gene detection
This is an open source project to develop an automated embedded focusing system
Spatial analysis toolkit for single cell multiplexed tissue data
OGO gene-expression
Monte Carlo Simulation of Light-Tissue Interaction
Data and R code to reproduce the results from 'Transcriptional responses as biomarkers of general toxicity' (Ekelund Ugge et al. 2022).
"A quantitative principle to understand 3D cellular connectivity in epithelial tubes" Gomez-Galvez et al
MorpHista is an application for morphology-based histological image segmentation and tissue analysis. It automates the detection and quantification of interstitial cells of Cajal (ICC) in histopathological images.
An organism simulation framework based on cell growth and resultant emergent phenomena.
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