An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification-Reference-Cited by-同舟云学术

An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification

Published:2023-02 Issue: Volume:153 Page:106544
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Dwivedi Kountay^ORCID,Rajpal Ankit^ORCID,Rajpal Sheetal,Agarwal Manoj,Kumar Virendra,Kumar Naveen

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference99 articles.

1. Global cancer observatory: Cancer today;Ferlay;Lyon, France: Int. Agency Res. Cancer,2018

2. Non-small cell lung cancer: Current treatment and future advances;Zappa;Transl. Lung Cancer Res.,2016

3. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA: Cancer J. Clin.,2021

4. International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung Adenocarcinoma;Travis;J. Thoracic Oncol.,2011

5. Lung cancer: Understanding its molecular pathology and the 2015 WHO classification;Inamura;Front. Oncol.,2017

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NNBGWO-BRCA marker: Neural Network and binary grey wolf optimization based Breast cancer biomarker discovery framework using multi-omics dataset;Computer Methods and Programs in Biomedicine;2024-09

2. A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP);Expert Systems with Applications;2024-08

3. The efficacy of machine learning models in lung cancer risk prediction with explainability;PLOS ONE;2024-06-13

4. SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data;Computer Methods and Programs in Biomedicine;2024-02

5. XLR-Net: Explainable AI-driven improved L1-regularized deep neural architecture for NSCLC biomarker identification;Computational Biology and Chemistry;2024-02