Cargando…
Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space
Noise is a basic ingredient in data, since observed data are always contaminated by unwanted deviations, i.e., noise, which, in the case of overdetermined systems (with more data than model parameters), cause the corresponding linear system of equations to have an imperfect solution. In addition, in...
Autores principales: | deAndrés-Galiana, Enrique J., Fernández-Martínez, Juan Luis, Fernández-Brillet, Lucas, Cernea, Ana, Kloczkowski, Andrzej |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656407/ https://www.ncbi.nlm.nih.gov/pubmed/36361765 http://dx.doi.org/10.3390/ijms232112975 |
Ejemplares similares
-
Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
por: Hassan, Mubashir, et al.
Publicado: (2022) -
Robust Sampling of Defective Pathways in Alzheimer’s Disease. Implications in Drug Repositioning
por: Fernández-Martínez, Juan Luis, et al.
Publicado: (2020) -
Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19
por: deAndrés-Galiana, Enrique J., et al.
Publicado: (2022) -
Robust Sampling of Defective Pathways in Multiple Myeloma
por: Fernández-Martínez, Juan Luis, et al.
Publicado: (2019) -
On the Role of Artificial Intelligence in Genomics to Enhance Precision Medicine
por: Álvarez-Machancoses, Óscar, et al.
Publicado: (2020)