相关实验视频

Updated: Jul 2, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
11:12

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

8.0K

用机器学习识别乳腺癌不同阶段的基因表达

Ali Abidalkareem1, Ali K Ibrahim1,2, Moaed Abd3

  • 1EECS Department, Florida Atlantic University, Boca Raton, FL 33431, USA.

Cancers
|May 25, 2024
PubMed
概括

这项研究开发了一个机器学习模型,使用microRNAs (miRNAs) 准确识别乳腺癌的阶段. 与传统方法相比,先进的特征选择方法显著提高了诊断准确性.

关键词:
生物标记物识别生物标记物识别乳腺癌 乳腺癌 乳腺癌癌症阶段分类 癌症阶段分类机器学习是机器学习.这是一个微型RNA.

更多相关视频

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.0K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

相关概念视频

Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...