Random forests for genetic association studies

BA Goldstein, EC Polley, FBS Briggs - Statistical applications in …, 2011 - degruyter.com
The Random Forests (RF) algorithm has become a commonly used machine learning
algorithm for genetic association studies. It is well suited for genetic applications since it is …

Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis

HH Kong, J Oh, C Deming, S Conlan, EA Grice… - Genome …, 2012 - genome.cshlp.org
Atopic dermatitis (AD) has long been associated with Staphylococcus aureus skin
colonization or infection and is typically managed with regimens that include antimicrobial …

Super learner

MJ Van der Laan, EC Polley… - Statistical applications in …, 2007 - degruyter.com
When trying to learn a model for the prediction of an outcome given a set of covariates, a
statistician has many estimation procedures in their toolbox. A few examples of these …

[HTML][HTML] A population-based study of genes previously implicated in breast cancer

C Hu, SN Hart, R Gnanaolivu, H Huang… - … England Journal of …, 2021 - Mass Medical Soc
Background Population-based estimates of the risk of breast cancer associated with
germline pathogenic variants in cancer-predisposition genes are critically needed for risk …

Associations between cancer predisposition testing panel genes and breast cancer

FJ Couch, H Shimelis, C Hu, SN Hart, EC Polley… - JAMA …, 2017 - jamanetwork.com
Importance Germline pathogenic variants inBRCA1andBRCA2predispose to an increased
lifetime risk of breast cancer. However, the relevance of germline variants in other genes …

Association between inherited germline mutations in cancer predisposition genes and risk of pancreatic cancer

C Hu, SN Hart, EC Polley, R Gnanaolivu, H Shimelis… - Jama, 2018 - jamanetwork.com
Importance Individuals genetically predisposed to pancreatic cancer may benefit from early
detection. Genes that predispose to pancreatic cancer and the risks of pancreatic cancer …

Super learner in prediction

EC Polley, MJ Van der Laan - 2010 - biostats.bepress.com
Super learning is a general loss based learning method that has been proposed and
analyzed theoretically in van der Laan et al.(2007). In this article we consider super learning …

The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology

OD Abaan, EC Polley, SR Davis, YJ Zhu, S Bilke… - Cancer research, 2013 - AACR
The NCI-60 cell lines are the most frequently studied human tumor cell lines in cancer
research. This panel has generated the most extensive cancer pharmacology database …

[HTML][HTML] Shifts in human skin and nares microbiota of healthy children and adults

J Oh, S Conlan, EC Polley, JA Segre, HH Kong - Genome medicine, 2012 - Springer
Background Characterization of the topographical and temporal diversity of the microbial
collective (microbiome) hosted by healthy human skin established a reference for studying …

[HTML][HTML] Interaction between the microbiome and TP53 in human lung cancer

KL Greathouse, JR White, AJ Vargas, VV Bliskovsky… - Genome biology, 2018 - Springer
Background Lung cancer is the leading cancer diagnosis worldwide and the number one
cause of cancer deaths. Exposure to cigarette smoke, the primary risk factor in lung cancer …