642 results on '"Moore, Jason H"'
Search Results
2. Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT)
3. Artificial Intelligence Approaches to No-Boundary Thinking
4. No-Boundary Thinking
5. Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning
6. The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research
7. Using GPT-4 to write a scientific review article: a pilot evaluation study
8. Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis
9. Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care
10. The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients
11. mixWAS: An efficient distributed algorithm for mixed-outcomes genome-wide association studies
12. Artificial intelligence: revolutionizing cardiology with large language models
13. Publisher Correction: Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions
14. Ten simple rules for managing laboratory information
15. Mediation Analysis Identifies Amyloid Imaging Genetic Patterns for Cognitive Outcomes in Alzheimer’s Disease
16. Socio-cognitive Evolution Strategies
17. Is the evolution metaphor still necessary or even useful for genetic programming?
18. Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions
19. Aliro: an automated machine learning tool leveraging large language models
20. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium
21. Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease
22. STAR_outliers: a python package that separates univariate outliers from non-normal distributions
23. 1 Personalized medicine
24. List of contributors
25. Image Feature Learning with Genetic Programming
26. New Pathways in Coevolutionary Computation
27. SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
28. Benchmarking Manifold Learning Methods on a Large Collection of Datasets
29. Coevolving Artistic Images Using OMNIREP
30. Integration of molecular and cellular pathogenesis - a bioinformatics approach
31. Predicting risk of Alzheimer's disease using polygenic risk scores developed for Parkinson's disease
32. Improving Genetic Association Studies with a Novel Methodology that Unveils the Hidden Complexity of All-Cause Heart Failure
33. Knowledge graph aids comprehensive explanation of drug and chemical toxicity
34. Gene-Gene Interactions: An Essential Component to Modeling Complexity for Precision Medicine
35. Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
36. TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning
37. Computational Framework for Statistical Epistasis Supports XOR Penetrance Function in a Living System
38. Automated quantitative trait locus analysis (AutoQTL)
39. Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets
40. Supplementary Figure 1 Legend from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
41. Supplementary Table 4 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
42. Supplementary Table 3 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
43. Supplementary Figure 1 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
44. Supplementary Figure 1 Legend from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
45. Supplementary Table 3 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
46. Supplementary Table 1 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
47. Supplementary Table 4 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
48. Supplementary Table 2 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
49. Supplementary Table 1 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
50. Supplementary Table 2 from Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
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