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Published in 2019 at "Journal of biotechnology"
DOI: 10.1016/j.jbiotec.2019.06.306
Abstract: Biologically manufactured monoclonal antibodies (mAb) can strongly vary in their efficacy and affinity. Therefore, engineering and production of the mAb is highly regulated and requires product monitoring, especially in terms of N-glycosylation patterns. In this…
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Keywords:
based microarray;
mass spectrometry;
glycosylation;
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7140552
Abstract: DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction.…
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Keywords:
vector quantization;
foraging optimization;
manta ray;
ray foraging ... See more keywords
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Published in 2019 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1007264
Abstract: Accurately predicting and testing the types of Pulmonary arterial hypertension (PAH) of each patient using cost-effective microarray-based expression data and machine learning algorithms could greatly help either identifying the most targeting medicine or adopting other…
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Keywords:
based microarray;
machine learning;
expression genes;
expression ... See more keywords
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Published in 2022 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2021.721788
Abstract: Introduction Multiple sclerosis is an immune-mediated demyelinating disorder of the central nervous system. Because of the complexity of etiology, pathology, clinical manifestations, and the diversity of classification, the diagnosis of MS is very difficult. We…
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Keywords:
diagnosis;
diagnosis model;
based microarray;
model ... See more keywords