Cargando…
Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter
BACKGROUND: Identification of protein-protein interactions (PPIs) is crucial for understanding biological processes and investigating the cellular functions of genes. Self-interacting proteins (SIPs) are those in which more than two identical proteins can interact with each other and they are the sp...
Autores principales: | Chen, Zhan-Heng, You, Zhu-Hong, Li, Li-Ping, Wang, Yan-Bin, Qiu, Yu, Hu, Peng-Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933882/ https://www.ncbi.nlm.nih.gov/pubmed/31881833 http://dx.doi.org/10.1186/s12864-019-6301-1 |
Ejemplares similares
-
Uniform patterns based area-efficient and accurate stochastic computing finite impulse response filter
por: Ijaz, Muhammad, et al.
Publicado: (2021) -
Finite Impulse Response Filter-Based Track Formation for Preceding Vehicle Tracking Using Automotive Radars
por: Pak, Jung Min
Publicado: (2022) -
Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform
por: Chen, Zhan-Heng, et al.
Publicado: (2019) -
Stability Analysis of Impulsive Control Systems with Finite and Infinite Delays
por: Wang, Xuling, et al.
Publicado: (2014) -
Full-frequency correction of spatial impulse response in back-projection scheme using space-variant filtering for optoacoustic mesoscopy
por: Lu, Tong, et al.
Publicado: (2020)