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Benchmarking robustness of deep neural networks in semantic segmentation of fluorescence microscopy images | BMC Bioinformatics

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We propose an assay for benchmarking corruption robustness and adversarial robustness of DNN models in semantic segmentation of FM images. A critical part of...
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Deep learning large-scale drug discovery and repurposing

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DiMasi, J. A., Grabowski, H. G. & Hansen, R. W. Innovation in the pharmaceutical industry: new estimates of R&D costs. J. Health Econ. 47,...
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Description and first insights on a large genomic biobank of lung transplantation

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Description of the COLT clinical databaseGenCOLT was built as a sub-part of the Cohort in Lung Transplantation (COLT – NCT00980967), whose main focus was...
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Deciphering the role of HLF in idiopathic orbital inflammation: integrative analysis via bioinformatics and machine learning techniques

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DEG identification and principal component analysisWe integrated GSE58331 and GSE105149 and conducted batch match evidence integration. PCA corroborated the successful demarcation of patients into...
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An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles

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Clinical sample collectionThis study was approved by the Ethics Committees of the Sun Yat-Sen University Cancer Centre, the First Affiliated Hospital of Sun Yat-Sen...
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