Molecular function recognition by supervised projection pursuit machine learning
Abstract Identifying mechanisms that control molecular function is a significant challenge in pharmaceutical science and molecular engineering. Here, we present a novel projection pursuit recurrent neural network to identify functional mechanisms in the context of iterative supervised machine learni...
Guardado en:
Autores principales: | Tyler Grear, Chris Avery, John Patterson, Donald J. Jacobs |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4188accaacb94107ab6e9dd075021902 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Supervised Learning in Physical Networks: From Machine Learning to Learning Machines
por: Menachem Stern, et al.
Publicado: (2021) -
Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses
por: Estela de Oliveira Lima, et al.
Publicado: (2020) -
Tree-Structured Regression Model Using a Projection Pursuit Approach
por: Hyunsun Cho, et al.
Publicado: (2021) -
Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images
por: Gang Yu, et al.
Publicado: (2021) -
In Pursuit of Legitimacy
por: Amy Zalman
Publicado: (2006)