Surface-Enhanced Raman Spectroscopy-Based Detection of Micro-RNA Biomarkers for Biomedical Diagnosis Using a Comparative Study of Interpretable Machine Learning Algorithms.

Li, Joy Q; Neng-Wang, Hsin; Canning, Aidan J; Gaona, Alejandro; Crawford, Bridget M; Garman, Katherine S; Vo-Dinh, Tuan

Li, Joy Q; Neng-Wang, Hsin; Canning, Aidan J; Gaona, Alejandro; Crawford, Bridget M; Garman, Katherine S; Vo-Dinh, Tuan.

Afiliação

Li JQ; Fitzpatrick Institute for Photonics, Durham, North Carolina, USA.
Neng-Wang H; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Canning AJ; Fitzpatrick Institute for Photonics, Durham, North Carolina, USA.
Gaona A; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Crawford BM; Fitzpatrick Institute for Photonics, Durham, North Carolina, USA.
Garman KS; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Vo-Dinh T; Fitzpatrick Institute for Photonics, Durham, North Carolina, USA.

Appl Spectrosc ; 78(1): 84-98, 2024 Jan.

Article em En | MEDLINE | ID: mdl-37908079

Assuntos

MicroRNAs; Análise Espectral Raman; Algoritmos; Biomarcadores; Aprendizado de Máquina

Palavras-chave

CNN; NMF; SERS; Surface-enhanced Raman spectroscopy; convolutional neural network; machine learning; miRNA; micro-RNA; nanoparticle; non-negative matrix factorization

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise Espectral Raman / MicroRNAs Idioma: En Revista: Appl Spectrosc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

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