Our proposed approach addresses both these problems by using a domain adaptation classifier in conjunction with features generated with unsupervised ...
We propose an algorithm that builds a naïve Bayes classifier for biological sequences in a domain adaptation setting.
Our proposed approach addresses both these problems by using a domain adaptation classifier in conjunction with features generated with unsupervised ...
Oct 22, 2024 · Specifically, it uses the existing large corpus of labeled data from a source organism, in conjunction with any available labeled data and lots ...
Our proposed approach addresses both these problems by using a domain adaptation classifier in conjunction with features generated with unsupervised ...
We investigate the co-occurrence of domain families in eukaryotic proteins to predict protein cellular localization.
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Our proposed approach addresses both these problems by using a domain adaptation classifier in ... approach, we evaluated it on the task of protein localization –.
Get details about the chapter of Predicting Protein Localization Using a Domain Adaptation Approach from book Biomedical Engineering Systems and ...
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Predicting Protein Subcellular Localization: Past, Present, and ...
pmc.ncbi.nlm.nih.gov › PMC5187447
This review provides a short description of the main events in the protein sorting process and an overview of the most commonly used methods in this field.
Oct 31, 2023 · Here, we introduce Domain-PFP, a protein function prediction method that uses functional representation of proteins through domain-GO ...