Search alternatives:
proteomic detection » protein detection (Expand Search), proteomic alterations (Expand Search), proteomic identification (Expand Search)
based optimization » whale optimization (Expand Search)
based proteomic » based proteomics (Expand Search), based protein (Expand Search), based prognostic (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary 3d » binary _ (Expand Search), binary b (Expand Search)
3d based » 3 based (Expand Search), d based (Expand Search), chd based (Expand Search)
proteomic detection » protein detection (Expand Search), proteomic alterations (Expand Search), proteomic identification (Expand Search)
based optimization » whale optimization (Expand Search)
based proteomic » based proteomics (Expand Search), based protein (Expand Search), based prognostic (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary 3d » binary _ (Expand Search), binary b (Expand Search)
3d based » 3 based (Expand Search), d based (Expand Search), chd based (Expand Search)
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Raw LC-MS/MS and RNA-Seq Mitochondria data
Published 2025“…The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD038236. …”
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Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease
Published 2025“…<i>Z</i> score standardization and independent sample <i>t</i> test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. …”
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …”