Cargando…
Modeling and Simulation of Cell Signaling Networks for Subsequent Analytics Processes Using Big Data and Machine Learning
This work explores how much the traditional approach to modeling and simulation of biological systems, specifically cell signaling networks, can be increased and improved by integrating big data, data mining, and machine learning techniques. Specifically, we first model, simulate, validate, and cali...
Autores principales: | Sánchez-Gutiérrez, Máximo Eduardo, González-Pérez, Pedro Pablo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036331/ https://www.ncbi.nlm.nih.gov/pubmed/35478994 http://dx.doi.org/10.1177/11779322221091739 |
Ejemplares similares
-
Multi-Class Classification of Medical Data Based on Neural Network Pruning and Information-Entropy Measures
por: Sánchez-Gutiérrez, Máximo Eduardo, et al.
Publicado: (2022) -
Apache Spark 2: master complex big data processing, stream analytics, and machine learning with Apache Spark
por: Kienzler, Romeo, et al.
Publicado: (2018) -
Big data analytics for cyber-physical systems: machine learning for the Internet of Things
por: Dartmann, Guido, et al.
Publicado: (2019) -
Topical collection on machine learning for big data analytics in smart healthcare systems
por: Jan, Mian Ahmad, et al.
Publicado: (2023) -
Google BigQuery: the definitive guide : data warehousing, analytics, and machine learning at scale
por: Lakshmanan, Valliappa, et al.
Publicado: (2019)