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An example workflow package for the BioHPC Astrocyte workflow engine.
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An example workflow package for the BioHPC Astrocyte workflow engine.
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An example workflow package for the BioHPC Astrocyte workflow engine.
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An example workflow package for the BioHPC Astrocyte workflow engine.
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Three variants of regression models based on deep neural networks, random forest, and gradient boosting to predict chromatin interaction strength.
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This is a set of python and R routines for converting imaging and mask information to radiomic features and perform simple classification task.
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Testing for data normality and variability, reporting sample sizes, and visualizing data groups.
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Low-frequency small variants and large deletions detection from mitochondrial DNA deep sequencing experiments.
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An R program to visualize, normalize, and analyze -omics data such as those from microarray, metabolomics and proteomics experiments. Data are supplied as a list or table along with parameter settings, all in an Excel file.
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