Supplementary Materials for "A hybrid mixture approach for clustering and characterizing cancer data"

This repository contains supplementary figures and plots referenced in the manuscript titled
"A hybrid mixture approach for clustering and characterizing cancer data" by Kazeem Kareem and Fan Dai. It also contains the source code.

Due to space constraints in the main paper, the figures here provide additional insight into model performance and analyses.

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📄 Contents

1. Supplementary_materials_for_gmmfad_paper.pdf

• Additional plots providing further insights into the simulation and real data results.

2. main

• Contains all the source codes for the algorithm and simulations in the paper.
  • breast_cancer_data_constq_variedq.R-- contans code for fitting GMMFAD and GMMFADq on the breast cancer dataset.
  • em4gmm.R -- This is the primary source code, containing the functions GMMFAD and other relevant functions.
  • gmfad_emmix_emEM_p350_sim_time.R-- Code for the simulation setup for comparing the time speedup, frobsenius errors, and ARI for GMMFAD and EMMIX algorithms for n=p=150.
  • gmfad_emmix_emEM_sim_time.R-- Code for the simulation setup for comparing the time speedup, frobsenius errors, and ARI for GMMFAD and EMMIX algorithms for n=300, p=10.
  • gmfad_qq -- This is the primary source code, containing the functions GMMFADq, and other relevant functions.
  • lymphoma gene data (1).R-- Code for fitting the lymphoma data with GMMFADq
  • sim_BIC_varied_q.R -- Code for the simulation setup for comparing the correctness of model selection by GMMFADq for data parameters n=300, p=10.
  • sim_gmfad_emmix_BIC_2.R-- Code for the simulation setup for comparing the correctness of model selection by GMMFAD for data parameters n=300, p=10.
  • wdbc.data -- Wisconsin breast cancer (Diagnostic) data with label.
  • wdbc.names -- Information related to the features of the Wisconsin breast cancer data.

🔗 How to Cite

If you reference any materials from this repository, please cite the main manuscript and optionally include the GitHub link in your supplementary section or appendix.

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📬 Contact

For questions, suggestions, or collaboration inquiries, feel free to reach out:

Kazeem Kareem
PhD Candidate, Statistics
Michigan Technological University
Email: kareemkazeem718@gmail.com

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