In this study, we approached protein-protein interactions prediction as a multi-category task, encompassing seven PPI categories: Reaction, Binding, Post-translational modification (Ptmod), Activation, Inhibition, Catalysis, and Expression. Each protein-protein interaction pair is assigned to at least o...
Full size image Two-stage transfer learning We initially employ the first-stage transfer learning strategy in the feature extraction process (Fig. 1a) to fortify the initial feature representation derived from the primary structure of protein sequence. Specifically, we use the protein pre-trained mode...
In this paper we presented MTGO, a novel method to identify functional modules in PPI networks. MTGO theoretical architecture is based on the optimization of both GO term attribution and topology measures. MTGO provides both overlapping and full network coverage, two optimal features for module ident...
A number of experiments validating this modification to the SW-score are described in Supplementary File. Irrespective of its form, loading the database files into RAM enables constant-time lookup to similar windows in respective proteomes. The complexity for computing the SW-score for a given put...
Some proposed methods for identifying essential proteins have better results by using biological information. Gene expression data is generally used to identify essential proteins. However, gene expression data is prone to fluctuations, which may affect
(and, possibly, in the form of Direct Acyclic Graphs (DAGs), where classes may have multiple parents), where general functions include other more specific functions (see Figure1(a)). In this context, thehierarchial constraintmust be observed: A gene annotated with a function must be ...
Bioinformatics 2007. PubMed Abstract Publisher Full TextZhang S, Ning X and Zhang X-S: Identification of functional modules in a PPI network by clique percolation clustering. Computational Biology and Chemistry 2006, 30(6):445-451.
to reach all of the different levels of patient and public involvement in healthcare, as well as citizen science, we must increase our person-centred toolbox and our possible prejudice about involving patients. To unlock citizen panels’ full potential, we must not only include patient consultatio...
Full size table It is well known that the GSO algorithm has less parameters, simple operation and good stability, etc. GSO algorithm simulates the characteristic of glowworms glow in nature, by comparing the size of the fluorescein value to achieve the purpose of communication, so as to realiz...
(and, possibly, in the form of Direct Acyclic Graphs (DAGs), where classes may have multiple parents), where general functions include other more specific functions (see Figure1(a)). In this context, thehierarchial constraintmust be observed: A gene annotated with a function must be ...