Image-based profiling for drug discovery: due for a machine-learning upgrade?
SN Chandrasekaran, H Ceulemans, JD Boyd… - Nature Reviews Drug …, 2021 - nature.com
Image-based profiling is a maturing strategy by which the rich information present in
biological images is reduced to a multidimensional profile, a collection of extracted image …
biological images is reduced to a multidimensional profile, a collection of extracted image …
Image-based cell phenotyping with deep learning
A cell's phenotype is the culmination of several cellular processes through a complex
network of molecular interactions that ultimately result in a unique morphological signature …
network of molecular interactions that ultimately result in a unique morphological signature …
Wilds: A benchmark of in-the-wild distribution shifts
Distribution shifts—where the training distribution differs from the test distribution—can
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild …
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild …
Learning representations for image-based profiling of perturbations
Measuring the phenotypic effect of treatments on cells through imaging assays is an efficient
and powerful way of studying cell biology, and requires computational methods for …
and powerful way of studying cell biology, and requires computational methods for …
[HTML][HTML] The phenotypic landscape of essential human genes
Understanding the basis for cellular growth, proliferation, and function requires determining
the roles of essential genes in diverse cellular processes, including visualizing their …
the roles of essential genes in diverse cellular processes, including visualizing their …
Rxrx1: A dataset for evaluating experimental batch correction methods
M Sypetkowski, M Rezanejad… - Proceedings of the …, 2023 - openaccess.thecvf.com
High-throughput screening techniques are commonly used to obtain large quantities of data
in many fields of biology. It is well known that artifacts arising from variability in the technical …
in many fields of biology. It is well known that artifacts arising from variability in the technical …
Predicting cell health phenotypes using image-based morphology profiling
Genetic and chemical perturbations impact diverse cellular phenotypes, including multiple
indicators of cell health. These readouts reveal toxicity and antitumorigenic effects relevant …
indicators of cell health. These readouts reveal toxicity and antitumorigenic effects relevant …
Pooled genetic perturbation screens with image-based phenotypes
Discovery of the genetic components underpinning fundamental and disease-related
processes is being rapidly accelerated by combining efficient, programmable genetic …
processes is being rapidly accelerated by combining efficient, programmable genetic …
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
Cellular microscopy images contain rich insights about biology. To extract this information,
researchers use features, or measurements of the patterns of interest in the images. Here …
researchers use features, or measurements of the patterns of interest in the images. Here …
Morphological screening of mesenchymal mammary tumor organoids to identify drugs that reverse epithelial-mesenchymal transition
The epithelial-mesenchymal transition (EMT) has been implicated in conferring stem cell
properties and therapeutic resistance to cancer cells. Therefore, identification of drugs that …
properties and therapeutic resistance to cancer cells. Therefore, identification of drugs that …