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The value of predicting breast cancer with a DBT 2.5D deep learning model.

Huandong Niu | Li Li | Ximing Wang | Han Xu
Discover oncology | 2025

To evaluate the accuracy and efficacy of a 2.5-dimensional deep learning (DL) model based on digital breast tomosynthesis (DBT) in predicting breast cancer.

Pubmed ID: 40155449

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SNAP (tool)

RRID:SCR_007936

A sequence analysis tool providing a simple but detailed analysis of human genes and their variations. For each gene, a gene-gene relationship network can be generated based on protein-protein interaction data, metabolic pathway connections and extended through phylogenetic relations. Snap provides tools for designing sequence primers and evaluating RNA splicing effects of single SNPs - known from the databases or defined by you. Primers can be designed for the amplification or sequencing of cDNA, genomic DNA, introns only or exons only.

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