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Machine learning-based analysis of the digital pathology datasets for the predictive IHC panel Next, to identify the optimal number of protein combinations for predicting NAC responsiveness using clinically applicable IHC staining, the digital pathology datasets from the AMC NAC and PCT cohorts (Supplementary Tables 2 and 3) were analyzed using deep learning techniques similar to those used in transcriptome cross-validation modeling

CorderoMDAlcocer-GmezECano-GarcaFJDe MiguelMCarrinAMNavasPet alClinical symptoms in fibromyalgia are better associated to lipid peroxidation levels in blood mononuclear cells rather than in plasma

doi: 10.3389/fmicb.2017.01531 368 ZhangF.LiD.YangY.ZhangH.ZhuJ.LiuJ.et al

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