Spatial statistics is a comprehensive tool for quantifying cell neighbor relationships and biological processes via tissue image analysis
HD Summers, JW Wills, P Rees - Cell Reports Methods, 2022 - cell.com
Automated microscopy and computational image analysis has transformed cell biology,
providing quantitative, spatially resolved information on cells and their constituent molecules …
providing quantitative, spatially resolved information on cells and their constituent molecules …
Robust neural posterior estimation and statistical model criticism
Computer simulations have proven a valuable tool for understanding complex phenomena
across the sciences. However, the utility of simulators for modelling and forecasting …
across the sciences. However, the utility of simulators for modelling and forecasting …
Detecting model misspecification in amortized Bayesian inference with neural networks
Recent advances in probabilistic deep learning enable efficient amortized Bayesian
inference in settings where the likelihood function is only implicitly defined by a simulation …
inference in settings where the likelihood function is only implicitly defined by a simulation …
A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma
Background Mechanistic models, when combined with pertinent data, can improve our
knowledge regarding important molecular and cellular mechanisms found in cancer. These …
knowledge regarding important molecular and cellular mechanisms found in cancer. These …
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
Recent advances in probabilistic deep learning enable efficient amortized Bayesian
inference in settings where the likelihood function is only implicitly defined by a simulation …
inference in settings where the likelihood function is only implicitly defined by a simulation …
What you see is not what is there: Mechanisms, models, and methods for point pattern deviations
Many natural systems are observed as point patterns in time, space, or space and time.
Examples include plant and cellular systems, animal colonies, earthquakes, and wildfires. In …
Examples include plant and cellular systems, animal colonies, earthquakes, and wildfires. In …
Quantification of spatial tumor heterogeneity in immunohistochemistry staining images
Motivation Quantitative immunofluorescence is often used for immunohistochemistry
quantification of proteins that serve as cancer biomarkers. Advanced image analysis …
quantification of proteins that serve as cancer biomarkers. Advanced image analysis …
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Traditional supervised learning tasks require a label for every instance in the training set, but
in many real-world applications, labels are only available for collections (bags) of instances …
in many real-world applications, labels are only available for collections (bags) of instances …
Discovery of novel antifungal resorcylate aminopyrazole Hsp90 inhibitors based on structural optimization by molecular simulations
Y Tuo, G Li, Z Liu, N Yu, Y Li, L Yang, H Liu… - New Journal of …, 2022 - pubs.rsc.org
Hsp90 is a highly conserved and essential stress protein located in all eukaryotes, involved
in the regulation of fungal survival, virulence and resistance, which is an important target for …
in the regulation of fungal survival, virulence and resistance, which is an important target for …
CytoSpatio: Learning cell type spatial relationships using multirange, multitype point process models
Recent advances in multiplexed fluorescence imaging have provided new opportunities for
deciphering the complex spatial relationships among various cell types across diverse …
deciphering the complex spatial relationships among various cell types across diverse …