Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing

By Jason H. Moore, D. P. Hill, Arvis Sulovari, L. Kidd. 2013

10 citations recorded by the source corpus.

Subfields: Genetics, Spectroscopy

How researchers see this paper

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

In Genetics

1. Randal S. Olson
2. Ryan J. Urbanowicz
3. Jason H. Moore
4. Nicole A. Lavender
5. Peter C. Andrews
6. La Creis Kidd
7. Marylyn DeRiggi Ritchie

In Spectroscopy

1. Jason H. Moore

Citations in the corpus

• Automating Biomedical Data Science Through Tree-Based Pipeline Optimization (2016, methodology): “As shown in Figure 4, TPOT discovered a pipeline that achieved a balanced testing accuracy of 60.8%, which is competitive with previous accuracy of 59.8% on the same data set with the Computational Evolution System (CES) [16].”