Phenotypic deconvolution in heterogeneous cancer cell populations using drug screen data. Matlab implementation of the method described in https://www.biorxiv.org/content/10.1101/2022.01.17.476604v2. Also includes the necessary code and data to reproduce the results and figures in the publication. Latest version available on Github at: https://github.com/ocbe-uio/PhenoPop. A Python package of the method is available at https://github.com/ocbe-uio/pyPhenoPop
<div><p>High-content imaging is a powerful tool for determining cell phenotypes at the single cell l...
Phenotypic image analysis is the task of recognizing variations in cell properties using microscopic...
Most phenotype-identification methods in cell-based screening assume prior knowledge about expected ...
International audienceTumor heterogeneity is an important driver of treatment failure in cancer sinc...
Methods to quantify cellular-level phenotypic differences between genetic groups are a key tool in g...
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformati...
A growing body of experimental evidence indicates a strong link between intratumoral heterogeneity a...
Phenotypic screening is a type of screening used to identify substances such as small molecules, pep...
High throughput drug screening has greatly progressed drug discovery for diseases such as cancer. Sp...
The application of high-content imaging in conjunction with multivariate clustering techniques has r...
The publication describes how, in many situations, 3D cell cultures mimic the natural organization o...
Preclinical in vitro studies typically assay cell viability and proliferation, cell cycle perturbati...
Intra-tumour heterogeneity creates a major challenge in cancer treatment; while some cells in the tu...
High-content imaging is a powerful tool for determining cell phenotypes at the single cell level. Ch...
Deconvolution of heterogeneous bulk tumor samples into distinct cellular populations is an important...
<div><p>High-content imaging is a powerful tool for determining cell phenotypes at the single cell l...
Phenotypic image analysis is the task of recognizing variations in cell properties using microscopic...
Most phenotype-identification methods in cell-based screening assume prior knowledge about expected ...
International audienceTumor heterogeneity is an important driver of treatment failure in cancer sinc...
Methods to quantify cellular-level phenotypic differences between genetic groups are a key tool in g...
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformati...
A growing body of experimental evidence indicates a strong link between intratumoral heterogeneity a...
Phenotypic screening is a type of screening used to identify substances such as small molecules, pep...
High throughput drug screening has greatly progressed drug discovery for diseases such as cancer. Sp...
The application of high-content imaging in conjunction with multivariate clustering techniques has r...
The publication describes how, in many situations, 3D cell cultures mimic the natural organization o...
Preclinical in vitro studies typically assay cell viability and proliferation, cell cycle perturbati...
Intra-tumour heterogeneity creates a major challenge in cancer treatment; while some cells in the tu...
High-content imaging is a powerful tool for determining cell phenotypes at the single cell level. Ch...
Deconvolution of heterogeneous bulk tumor samples into distinct cellular populations is an important...
<div><p>High-content imaging is a powerful tool for determining cell phenotypes at the single cell l...
Phenotypic image analysis is the task of recognizing variations in cell properties using microscopic...
Most phenotype-identification methods in cell-based screening assume prior knowledge about expected ...