Structural principles analysis of host-pathogen protein-protein interactions: A structural bioinformatics survey
Computational-intelligence methods in bioinformatics and systems biology show promising
potential for leveraging abundant, large-scale molecular data. These methods can facilitate …
potential for leveraging abundant, large-scale molecular data. These methods can facilitate …
Leveraging stacked denoising autoencoder in prediction of pathogen-host protein-protein interactions
In big data research related to bioinformatics, one of the most critical areas is proteomics. In
this paper, we focus on the protein-protein interactions, especially on pathogen-host protein …
this paper, we focus on the protein-protein interactions, especially on pathogen-host protein …
A framework towards data analytics on host–pathogen protein–protein interactions
With the rapid development of high-throughput technologies, systems biology is now
embracing a great opportunity made possible by the increased accumulation of data …
embracing a great opportunity made possible by the increased accumulation of data …
Leveraging SMOTE in a two-layer model for prediction of protein-protein interactions
The research of the mechanisms of infectious diseases between host and pathogens
remains a hot topic. It takes stock of the interactions data between host and pathogens …
remains a hot topic. It takes stock of the interactions data between host and pathogens …
APEX2S: A two‐layer machine learning model for discovery of host‐pathogen protein‐protein interactions on cloud‐based multiomics data
Presented by the avalanche of biological interactions data, computational biology is now
facing greater challenges on big data analysis and solicits more studies to mine and …
facing greater challenges on big data analysis and solicits more studies to mine and …
Towards elucidating the structural principles of host-pathogen protein-protein interaction networks: A bioinformatics survey
The ultimate goal of systems biology research area is to accurately predict the behavior of
biological systems through the construction of computational models, using the related …
biological systems through the construction of computational models, using the related …
Research on F-OFDM subband filter algorithm for three major 5G application scenarios
Y Chen, Y Wang, H Wu - Proceedings of the 2020 4th International …, 2020 - dl.acm.org
With the proposal of three major 5G (5th generation wireless systems) application scenarios,
the first NR (New Radio) specification version of 3GPP (3rd Generation Partnership Project) …
the first NR (New Radio) specification version of 3GPP (3rd Generation Partnership Project) …
Collaborative data analytics towards prediction on pathogen-host protein-protein interactions
Nowadays more and more data are being sequenced and accumulated in system biology,
which brings the data analytics researchers to a brand new era, namelybig data', to extract …
which brings the data analytics researchers to a brand new era, namelybig data', to extract …
Towards biological sequence data service with insights
Testable prediction outcomes generated by computational models based on available
databases are the primary sources helping to design biological experiments. Although …
databases are the primary sources helping to design biological experiments. Although …
Utilizing machine learning techniques to rapidly identify MUC2 expression in colon cancer tissues
PK Periyakoil - 2018 - thesis.library.caltech.edu
Colorectal cancer is the third-most common form of cancer among American men and
women. Like most tumors, colon cancer is sustained by a subpopulation of “stem cells” that …
women. Like most tumors, colon cancer is sustained by a subpopulation of “stem cells” that …