The statistics of number of proteins and phosphorylation S/T/Y sites for different organisms.

The statistics of number of proteins and phosphorylation S/T/Y sites for different organisms.

<p>The statistics of number of proteins and phosphorylation S/T/Y sites for different organisms.</p>

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Bibliographic Details
Main Author: Chao Wang (146527) (author)
Other Authors: Quan Zou (157931) (author)
Published: 2024
Subjects:
Biochemistry
Microbiology
Genetics
Ecology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
various signal transduction
valuable bioinformatics tool
interaction exploration indicating
comparison results shown
benefiting practical experiments
based genetic algorithm
art available toolkits
effective feature subset
phosphorylation site prediction
div >< p
feature contribution
protein phosphorylation
phosphorylation modifications
source code
several state
proposed model
predicting task
offspring competition
model organisms
fungal species
functional understanding
distributed information
cellular processes
balanced performance
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