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Published in 2021 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elaa030
Abstract: Deep learning has been increasingly used in bioinformatics, especially in sequence-based protein prediction tasks, as large amounts of biological data are available and deep learning techniques have been developed rapidly in recent years. For sequence-based…
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Keywords:
protein;
based protein;
sequence based;
deep learning ... See more keywords
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Published in 2023 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720023500051
Abstract: Some prediction methods use probability to rank their predictions, while some other prediction methods do not rank their predictions and instead use [Formula: see text]-values to support their predictions. This disparity renders direct cross-comparison of…
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Keywords:
evaluating network;
prediction methods;
prediction;
missing protein ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0264341
Abstract: Genetically regulated gene expression has helped elucidate the biological mechanisms underlying complex traits. Improved high-throughput technology allows similar interrogation of the genetically regulated proteome for understanding complex trait mechanisms. Here, we used the Trans-omics for…
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Keywords:
study;
trait;
prediction;
protein prediction ... See more keywords
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Published in 2023 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.1087294
Abstract: Essential proteins play important roles in the development and survival of organisms whose mutations are proven to be the drivers of common internal diseases having higher prevalence rates. Due to high costs of traditional biological…
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Keywords:
neural network;
transfer neural;
protein prediction;