Copyright
©The Author(s) 2024.
World J Clin Cases. Jul 16, 2024; 12(20): 4091-4107
Published online Jul 16, 2024. doi: 10.12998/wjcc.v12.i20.4091
Published online Jul 16, 2024. doi: 10.12998/wjcc.v12.i20.4091
Figure 2 Metabolic profiling of the low neutrophil extracellular traps and high neutrophil extracellular traps groups.
A: Low neutrophil extracellular traps (L_NETs) and high neutrophil extracellular traps (H_NETs) groups based on principal component analysis; B: L_NETs and H_NETs groups based on partial least square discriminant analysis; C: L_NETs and H_NETs groups based on orthogonal partial least square discriminant analysis; D: L_NETs and H_NETs groups based on permutation plots.
- Citation: Li YN, Su JL, Tan SH, Chen XL, Cheng TL, Jiang Z, Luo YZ, Zhang LM. Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy. World J Clin Cases 2024; 12(20): 4091-4107
- URL: https://www.wjgnet.com/2307-8960/full/v12/i20/4091.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i20.4091