R package to prepare proteomics datasets for the peptide level quantification
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Updated
Jul 1, 2023 - R
R package to prepare proteomics datasets for the peptide level quantification
This project deals with a supervised learning task: Quantification whose objective is to estimate the class distribution in a test sample.
The code of a hierarchical K-means clustering method in the article “Hierarchical K-means clustering method for accelerated lorentzian estimation (KALE) in chemical exchange saturation transfer-magnetic resonance imaging quantification”.
Verification, Validation, Uncertainty Quantification and Qualification Project
Analysis of actin dynamics using the method described by Higaki et al. (2009).
MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant
Quantification of actin dynamics using difference maps (Vidali et al, 2010, The Plant Cell)
Defect Detection and Quantification Toolbox
A Python package to estimate class prevalence in unlabeled datasets by specifying stability assumptions
python Crispr Read to Oligo QUantification and Evaluation Tool
Quantifying the dynamics of long-range cell-cell mechanical communication paper code
Toolkit for 3D image processing and analysis.
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.
These datasets and R scripts are complementary to the paper "Aphid honeydew may be the predominant sugar source for Aphidius parasitoids even in nectar-providing intercrops" published in Biological Control (https://doi.org/10.1016/j.biocontrol.2021.104596).
#GliaMorph - Toolkit to Process and Analyse Müller Glia Morphology
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