TCGA-BRCA
PulseAugur coverage of TCGA-BRCA — every cluster mentioning TCGA-BRCA across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New PPLS framework offers calibrated uncertainty and improved accuracy
Researchers have developed a new framework for Probabilistic Partial Least Squares (PPLS) that addresses practical limitations in existing fitting pipelines. This framework combines noise pre-estimation, constrained lik…
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Study finds feature dimensionality more critical than model complexity for breast cancer classification
A new study published on arXiv evaluates machine learning models for classifying breast cancer subtypes using gene expression data from TCGA-BRCA. The research found that feature dimensionality significantly impacts cla…
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SCOUT transformer generates concept-grounded pathology reports from whole-slide images
Researchers have developed SCOUT, a novel multimodal transformer framework designed for generating concept-grounded pathology reports from whole-slide images. This approach integrates local histological patterns, whole-…
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Deep learning predicts breast cancer subtypes from pathology images
Researchers have developed a new deep learning framework to classify breast cancer subtypes using histopathology images, potentially reducing the need for costly molecular assays. The method employs a multi-objective pa…