Analysis Gallery
Below are analyses using public datasets to demonstrate versatility. These are not collaborations. More studies will be added, so sign-up below to stay up-to-date.
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Reports are not currently optimized for mobile, but results are there; they are best viewed on a computer.
Blood serum proteins related to metastatic pancreatic cancer
Subjects
30
Features
1300
Narasimhan, A., Shahda, S., Kays, J. K., Perkins, S. M., Cheng, L., Schloss, K. N. H., Schloss, D. E. I., Koniaris, L. G., & Zimmers, T. A. (2020). Identification of Potential Serum Protein Biomarkers and Pathways for Pancreatic Cancer Cachexia Using an Aptamer-Based Discovery Platform. Cancers, 12(12), 3787. https://doi.org/10.3390/cancers12123787
Somatic mutations related to lobular breast cancer
Subjects
581
Features
492
Pereira, B., Chin, SF., Rueda, O. et al. The somatic mutation profiles of 2,433 breast cancers refine their genomic and transcriptomic landscapes. Nat Commun 7, 11479 (2016). https://doi.org/10.1038/ncomms11479
Skin cancer risk factors in older Americans
Subjects
3005
Features
900
Waite, Linda J., Laumann, Edward O., Levinson, Wendy S., Lindau, Stacy Tessler, and O’Muircheartaigh, Colm A. National Social Life, Health, and Aging Project (NSHAP): Round 1, [United States], 2005-2006. Inter-university Consortium for Political and Social Research [distributor], 2023-01-30. https://doi.org/10.3886/ICPSR20541.v10
US State-Level risk factor changes related to early-onset colorectal cancer
Subjects
51
Features
21
Simulated Study Demo
Subjects
100
Features
15
Jennifer Fouquier, Maggie Stanislawski, John O’Connor, Ashley Scadden, Catherine Lozupone. EXPLANA: A user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies. bioRxiv 2024.03.20.585968; doi: https://doi.org/10.1101/2024.03.20.585968
Cervical cancer behavior risk factors
Subjects
72
Features
19
Sobar, Machmud, R., & Wijaya, A. (2016). Behavior determinant based cervical cancer early detection with machine learning algorithm. Advanced Science Letters, 22(10), 3120-3123. https://archive.ics.uci.edu/dataset/537/cervical+cancer+behavior+risk
Happiness in Older Americans
Subjects
813
Features
800
Waite, Linda J., Laumann, Edward O., Levinson, Wendy S., Lindau, Stacy Tessler, and O’Muircheartaigh, Colm A. National Social Life, Health, and Aging Project (NSHAP): Round 1, [United States], 2005-2006. Inter-university Consortium for Political and Social Research [distributor], 2023-01-30. https://doi.org/10.3886/ICPSR20541.v10
Naval propulsion plants and turbine decay state
Subjects
11934
Features
18
Coraddu, A., Oneto, L., Ghio, A., Savio, S., Anguita, D., & Figari, M. (2014). Condition Based Maintenance of Naval Propulsion Plants [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5K31K
Factors affecting life expectancy in developing vs developed countries
Subjects
133
Features
20
Stiefel MC, Perla RJ, Zell BL. A healthy bottom line: healthy life expectancy as an outcome measure for health improvement efforts. Milbank Q. 2010 Mar;88(1):30-53. doi: 10.1111/j.1468-0009.2010.00588.x. PMID: 20377757
Bacteria related to ulcerative colitis & Crohn's disease
Subjects
220
Features
4000
Franzosa EA et al. Gut microbiome structure and metabolic activity in inflammatory bowel disease. Nat Microbiol. 2019 Feb;4(2):293-305. doi: 10.1038/s41564-018-0306-4. Epub 2018 Dec 10. Erratum in: Nat Microbiol. 2019 May;4(5):898. doi: 10.1038/s41564-019-0442-5. PMID: 30531976
Business success predictors
Subjects
922
Features
88
Startup Success Prediction: https://www.kaggle.com/datasets/manishkc06/startup-success-prediction
Mushroom characteristics indicative of toxicity
Subjects
8124
Features
117
Mushroom [Dataset]. (1981). UCI Machine Learning Repository. https://doi.org/10.24432/C5959T.
Metabolic syndrome risk factors
Subjects
2401
Features
25