Compositional Bias in Naïve and Chemically-modified Phage-Displayed Libraries uncovered by Paired-end Deep Sequencing
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-19439-2
Abstract: Understanding the composition of a genetically-encoded (GE) library is instrumental to the success of ligand discovery. In this manuscript, we investigate the bias in GE-libraries of linear, macrocyclic and chemically post-translationally modified (cPTM) tetrapeptides displayed… read more here.
Keywords: end deep; deep sequencing; paired end; bias ... See more keywords
An End-to-End Deep Learning Framework for Wideband Signal Recognition
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DOI: 10.1109/access.2023.3280454
Abstract: Successful management of the radio spectrum requires, as a first step, detailed information about spectrum occupancy. In this work, we present an end-to-end deep learning (DL) based framework to obtain information from wide spectrum bands… read more here.
Keywords: end deep; end end; framework; deep learning ... See more keywords
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT
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DOI: 10.3390/diagnostics12051142
Abstract: (1) Background: CT perfusion (CTP) is used to quantify cerebral hypoperfusion in acute ischemic stroke. Conventional attenuation curve analysis is not standardized and might require input from expert users, hampering clinical application. This study aims… read more here.
Keywords: core volume; end deep; end end; core ... See more keywords
End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm13020204
Abstract: Determining the nature of orbital tumors is challenging for current imaging interpretation methods, which hinders timely treatment. This study aimed to propose an end-to-end deep learning system to automatically diagnose orbital tumors. A multi-center dataset… read more here.
Keywords: end deep; orbital tumors; end end; deep learning ... See more keywords