Abstract
An accuracy of ≥98% was achieved in sepsis diagnosis using serum samples from 30 sepsis patients and 68 healthy individuals and a high-performance two-dimensional polyacrylamide gel electrophoresis (HP-2D-PAGE) method developed here with deep learning and transfer learning algorithms. In this method, small-scale target domain data, which are collected to achieve our objective, are inputted directly into a model constructed with source domain data which are collected from a different domain from the target; target vectors are estimated with the outputted target domain data and applied to refine the model. Recognition performance of small-scale data is improved by reusing all layers, including the output layers of the neural network. Proteomics is generally considered the ultimate bio-diagnostic technique and provides extremely high information density in its two-dimensional electrophoresis images, but extracting the data has posed a basic problem. The present study is expected to solve that problem and will be an important breakthrough for practical utilization and future perspectives of proteomics in clinics after evaluation in clinical settings.
Highlights
Cells are systems composed of proteins, and their conditions are essentially dependent on amounts and states of these proteins
Among techniques used in proteomics, two-dimensional gel electrophoresis (2D-GE) is available for directly examining amounts and states of proteins
Proteins arefactors configuration factors that drive biological systems, and proteomics repreProteins are configuration that drive biological systems, and proteomics repsents the ultimate method for profiling living organisms by exhaustive and resents the ultimate method for profiling living organisms by exhaustive and comprehen- comprehensive theamounts types and proteins
Summary
Cells are systems composed of proteins, and their conditions are essentially dependent on amounts and states of these proteins. Genomics is one of the most powerful methodologies available for profiling cells, but the amounts of proteins are affected by efficiency of translation, post-translational processing of gene products, and protein degradation rates in the cells. The quality of the data depends heavily on the method, and because the procedures involved require skill and time, it can be difficult to obtain large amounts of high-quality data. This is a practical reason why 2D-GE has not been used for clinical diagnoses, even though proteomics is the most powerful method available for profiling of organisms [1]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
