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Updated: Feb 5, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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具有机器学习的Raman和SERS分析平台用于分类野生类型p53和热点突变R175H和R273H

Karen Hernández-Vidales1, Juan A Muñoz Castillo1, Selene R Islas1

  • 1Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|February 3, 2026
PubMed
概括

这项研究提出了一个新的分析平台,使用拉曼光谱,表面增强的拉曼光谱 (SERS) 和机器学习来区分野生类型的p53蛋白与其与癌症相关的突变. 该方法在分类这些微妙的蛋白质变体方面取得了很高的准确性.

关键词:
分析平台是一个分析平台.机器学习是机器学习.多变量分析多变量分析.表面增强的拉曼光谱学它们是p53突变体.在p53蛋白质中,p53蛋白质是

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