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Flow diagram of the proposed model for breast cancer prediction.
Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi-modal classifiers
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The genomic landscape of BRCA-mutated and BRCA-wildtype tumors. The
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In silico enhancer mining reveals SNS-032 and EHMT2 inhibitors as therapeutic candidates in high-grade serous ovarian cancer
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The prognostic effects of somatic mutations in ER-positive breast cancer
ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation
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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
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