gene expression
PulseAugur coverage of gene expression — every cluster mentioning gene expression across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New COAST framework enhances gene expression prediction in spatial transcriptomics
Researchers have developed COAST, a novel framework for predicting gene expression in spatial transcriptomics using histology images. This context-aware differential learning approach leverages both local and global con…
-
New AI Framework Integrates Multi-Omics Data for Cancer Research
Researchers have developed a new framework called Pathway Activity Autoencoders to integrate multi-omics data for cancer research. This approach embeds prior biological knowledge into the model's architecture, enhancing…
-
New GC-MoE model predicts cell gene expression from histology images
Researchers have developed GC-MoE, a novel method for estimating gene expression in individual cells from histopathological images. This approach utilizes a Mixture-of-Experts model guided by genomics to predict cell-ty…
-
PerturbedVAE framework improves single-cell prediction by separating gene expression signals
Researchers have developed PerturbedVAE, a new framework to improve single-cell perturbation prediction by addressing the imbalance between perturbation-invariant and perturbation-specific gene expression signals. Exist…