Cargando…
An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples
BACKGROUND: Machine learning is one kind of machine intelligence technique that learns from data and detects inherent patterns from large, complex datasets. Due to this capability, machine learning techniques are widely used in medical applications, especially where large-scale genomic and proteomic...
Autores principales: | Bose, Shilpi, Das, Chandra, Banerjee, Abhik, Ghosh, Kuntal, Chattopadhyay, Matangini, Chattopadhyay, Samiran, Barik, Aishwarya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459790/ https://www.ncbi.nlm.nih.gov/pubmed/34616883 http://dx.doi.org/10.7717/peerj-cs.671 |
Ejemplares similares
-
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
por: Albashish, Dheeb
Publicado: (2022) -
LIDER: cell embedding based deep neural network classifier for supervised cell type identification
por: Tang, Yachen, et al.
Publicado: (2023) -
Predicting lung adenocarcinoma disease progression using methylation-correlated blocks and ensemble machine learning classifiers
por: Yu, Xin, et al.
Publicado: (2021) -
AutoNotes: A Touch-Free Blink-Based Interactive Model for Generation of Notes from Lecture Videos
por: Kar, Pragma, et al.
Publicado: (2021) -
ensembleTax: an R package for determinations of ensemble taxonomic assignments of phylogenetically-informative marker gene sequences
por: Catlett, Dylan, et al.
Publicado: (2021)