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Found 5 papers, 3 papers with code
Sample Selection Bias in Machine Learning for Healthcare
Specifically, we propose two independent networks (T-Net) and a multitasking network (MT-Net) for addressing SSB, where one network/task identifies the target subpopulation which is representative of the study population and the second makes predictions for the identified subpopulation.
Generalising sequence models for epigenome predictions with tissue and assay embeddings
Sequence modelling approaches for epigenetic profile prediction have recently expanded in terms of sequence length, model size, and profile diversity.
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
"Is it possible to predict expression levels of different genes at a given spatial location in the routine histology image of a tumor section by modeling its stain absorption characteristics?"
ALBRT: Cellular Composition Prediction in Routine Histology Images
Cellular composition prediction, i. e., predicting the presence and counts of different types of cells in the tumor microenvironment from a digitized image of a Hematoxylin and Eosin (H&E) stained tissue section can be used for various tasks in computational pathology such as the analysis of cellular topology and interactions, subtype prediction, survival analysis, etc.
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
In this paper, we consider score-based structure learning for the study of dynamical systems.
