Editorial: Machine Learning in Genome-Wide Association Studies

por Hu, Ting, Darabos, Christian, Urbanowicz, Ryan
Publicado 2020

To know the objective is not (necessarily) to know the objective function

por Sipper, Moshe, Urbanowicz, Ryan J., Moore, Jason H.
Publicado 2018

Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection

por Urbanowicz, Ryan J, Kiralis, Jeff, Fisher, Jonathan M, Moore, Jason H
Publicado 2012

Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach

por Urbanowicz, Ryan John, Andrew, Angeline S, Karagas, Margaret Rita, Moore, Jason H
Publicado 2013

A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection

por Urbanowicz, Ryan J, Granizo-Mackenzie, Ambrose LS, Kiralis, Jeff, Moore, Jason H
Publicado 2014

STatistical Inference Relief (STIR) feature selection

por Le, Trang T, Urbanowicz, Ryan J, Moore, Jason H, McKinney, Brett A
Publicado 2019

Genetic heterogeneity: Challenges, impacts, and methods through an associative lens

por Woodward, Alexa A., Urbanowicz, Ryan J., Naj, Adam C., Moore, Jason H.
Publicado 2022

PMLB: a large benchmark suite for machine learning evaluation and comparison

por Olson, Randal S., La Cava, William, Orzechowski, Patryk, Urbanowicz, Ryan J., Moore, Jason H.
Publicado 2017

GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures

por Urbanowicz, Ryan J, Kiralis, Jeff, Sinnott-Armstrong, Nicholas A, Heberling, Tamra, Fisher, Jonathan M, Moore, Jason H
Publicado 2012

Gene-Interaction-Sensitive enrichment analysis in congenital heart disease

por Woodward, Alexa A., Taylor, Deanne M., Goldmuntz, Elizabeth, Mitchell, Laura E., Agopian, A.J., Moore, Jason H., Urbanowicz, Ryan J.
Publicado 2022

Collective feature selection to identify crucial epistatic variants

por Verma, Shefali S., Lucas, Anastasia, Zhang, Xinyuan, Veturi, Yogasudha, Dudek, Scott, Li, Binglan, Li, Ruowang, Urbanowicz, Ryan, Moore, Jason H., Kim, Dokyoon, Ritchie, Marylyn D.
Publicado 2018

ChatGPT and large language models in academia: opportunities and challenges

por Meyer, Jesse G., Urbanowicz, Ryan J., Martin, Patrick C. N., O’Connor, Karen, Li, Ruowang, Peng, Pei-Chen, Bright, Tiffani J., Tatonetti, Nicholas, Won, Kyoung Jae, Gonzalez-Hernandez, Graciela, Moore, Jason H.
Publicado 2023

Ideas for how informaticians can get involved with COVID-19 research

por Moore, Jason H., Barnett, Ian, Boland, Mary Regina, Chen, Yong, Demiris, George, Gonzalez-Hernandez, Graciela, Herman, Daniel S., Himes, Blanca E., Hubbard, Rebecca A., Kim, Dokyoon, Morris, Jeffrey S., Mowery, Danielle L., Ritchie, Marylyn D., Shen, Li, Urbanowicz, Ryan, Holmes, John H.
Publicado 2020

BMI and Treatment Response in Patients With Pulmonary Arterial Hypertension: A Meta-analysis

por McCarthy, Breanne E., McClelland, Robyn L., Appleby, Dina H., Moutchia, Jude S., Minhas, Jasleen K., Min, Jeff, Mazurek, Jeremy A., Smith, K. Akaya, Fritz, Jason S., Pugliese, Steven C., Urbanowicz, Ryan J., Holmes, John H., Palevsky, Harold I., Kawut, Steven M., Al-Naamani, Nadine
Publicado 2022