Search alternatives:
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
process identification » process intensification (Expand Search), protein identification (Expand Search), protein identifications (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
psc driven » us driven (Expand Search), ipsc derived (Expand Search)
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
process identification » process intensification (Expand Search), protein identification (Expand Search), protein identifications (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
psc driven » us driven (Expand Search), ipsc derived (Expand Search)
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
Published 2025“…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …”
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
Published 2025“…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …”
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
Published 2025“…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …”
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
Published 2025“…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …”
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
Published 2025“…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …”
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Accession list and passport data.
Published 2024“…<div><p>High-throughput phenotyping brings new opportunities for detailed genebank accessions characterization based on image-processing techniques and data analysis using machine learning algorithms. …”
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iGlu_AdaBoost: Identification of Lysine Glutarylation Using the AdaBoost Classifier
Published 2020“…Lysine glutarylation is a newly reported post-translational modification (PTM) that plays significant roles in regulating metabolic and mitochondrial processes. Accurate identification of protein glutarylation is the primary task to better investigate molecular functions and various applications. …”
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Phenomic and classical descriptors.
Published 2024“…<div><p>High-throughput phenotyping brings new opportunities for detailed genebank accessions characterization based on image-processing techniques and data analysis using machine learning algorithms. …”
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