Article citationsMore>>
Xie, L., Dang, Y., Guo, J., Sun, X., Xie, T., Zhang, L., et al. (2019) High KRT8 Expression Independently Predicts Poor Prognosis for Lung Adenocarcinoma Patients. Genes, 10, Article No. 36.
https://doi.org/10.3390/genes10010036
has been cited by the following article:
-
TITLE:
Predicting Lung Cancer Stage by Expressions of Protein-Encoding Genes
AUTHORS:
Sicong Chen
KEYWORDS:
Lung Cancer Prediction, XGBoost, Central Dogma, Feature Selection
JOURNAL NAME:
Advances in Bioscience and Biotechnology,
Vol.14 No.8,
August
25,
2023
ABSTRACT: Predicting the stages of cancer
accurately is crucial for effective treatment planning. In this study, we aimed to develop a model using gene
expression data and XGBoost (eXtreme
Gradient Boosting) that include clinical and demographic variables to predict specific lung cancer stages in patients. By
conducting the feature selection using the Wilcoxon Rank Test, we picked the
most impactful genes associated with lung cancer stage prediction. Our model
achieved an overall accuracy of 82% in classifying lung cancer stages according to patients’ gene expression data. These
findings demonstrate the potential of gene expression analysis and
machine learning techniques in improving the accuracy of lung cancer stage
prediction, aiding in personalized treatment decisions.
Related Articles:
-
Mauricio Orozco-Levi, Alba Ramírez-Sarmiento, Michael Borchers, Cristiane Murta-Nascimento, Francesc Macià, Beatriz Casado, Maeba Polo, Andrea Caballero-Benitez, Fredy Diaz-Quijano, Antoni Gelabert
-
Eiichiro Hirakawa, Yasunori Tokuhara, Tatsuya Morinishi, Hiroyuki Ohsaki, Erika Uemura, Yukari Miki, Toru Matsunaga, Yoshio Kushida, Reiji Haba
-
Fotis Vlastos, Georgios Hillas, Nektarios Anagnostopoulos, Jean Michel Vignaud, Nadine Martinet, Nikolaos G. Koulouris
-
Pan Zhu, Yanhua Xu
-
Gouji Toyokawa, Mitsuhiro Takenoyama, Yukito Ichinose