Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
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Updated
May 13, 2024 - Python
Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
A framework for Quantification written in Python
Pruning and quantization for SSD. Model compression.
A pipeline to assess the quantification of transcripts.
RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.
ORF Quantification pipeline for Alternative Splicing
QuantificationLib is an open-source library for quantification learning.
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
Pipeline for RNA-seq analysis
🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system
Tissue segmentation and quantification on histopathological images
Python interface to detect and quantify intranuclear proteins
MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant
Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.
This repository contains the software developed for our 2020 publication to Journal of Clinical Medicine, on the topic of "Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography"
MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://lbgi.fr/MyoQuant
Quantifying the dynamics of long-range cell-cell mechanical communication paper code
Generating Nonlinear models of data from 6 sensors placed on a human in a very controlled environment.
Python library for label shift and quantification.
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