Quantifying cell transitions in C. elegans with data-fitted landscape models
Sign Up to like & getrecommendations! Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009034
Abstract: Increasing interest has emerged in new mathematical approaches that simplify the study of complex differentiation processes by formalizing Waddington’s landscape metaphor. However, a rational method to build these landscape models remains an open problem. Here… read more here.
Keywords: cell transitions; fitted landscape; landscape; landscape models ... See more keywords
Tabular prior-data fitted network in real-world CT radiomics: benign vs. malignant renal tumor classification
Sign Up to like & getrecommendations! Published in 2025 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-2025-1132
Abstract: Background Radiomics-based machine learning (ML) models can potentially distinguish between benign and malignant renal tumors on computed tomography (CT). Traditional algorithms necessitate intensive hyperparameter tuning and large datasets for optimization. This study assessed the novel… read more here.
Keywords: prior data; fitted network; malignant renal; data fitted ... See more keywords