Application of the GA/KNN method to SELDI proteomics data

By Leping Li, D. Umbach, P. Terry, Jack A. Taylor. 2004

107 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Justin M. O'Sullivan
2. Andreas W. Kempa-Liehr
3. Nicholas Pudjihartono
4. Tayaza Fadason

Citations in the corpus

• A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction (2022, background): “, 2001), genetic algorithm (Yang and Honavar, 1998; Li et al., 2004), ant colony optimization (Forsati et al.”
• Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier (2006, methodology): “In addition to clustering, different machine learning classifiers like support vector machine (SVM) [9], k-nearest neighbor classifier [10], etc have been applied to the classification of gene expression data [7] [8] [11] [12] [13] [14].”