Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
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Updated
May 30, 2024 - Python
Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
A framework for Quantification written in Python
Absolute quantification package based on quantms.io
ORF Quantification pipeline for Alternative Splicing
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.
Tissue segmentation and quantification on histopathological images
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
Create and use linear- and power-regression based calibration curves
QuantificationLib is an open-source library for quantification learning.
MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://lbgi.fr/MyoQuant
Defect Detection and Quantification Toolbox
MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant
Quantifying the dynamics of long-range cell-cell mechanical communication paper code
MARISSA - Magnetic Resonance Imaging Software for Standardization
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.
pyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data
Generating Nonlinear models of data from 6 sensors placed on a human in a very controlled environment.
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