Christopher I. Amos - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 23 from 23

2022

2021

Lessons Learned from an Enterprise-Wide Clinical DatathonAndrew J. Zimolzak, Jessica A. Davila, Vamshi Punugoti, Katherine H. Sippel, Ashok Balasubramanyam, Paul Klotman, Laura A. Petersen, Ryan H. Rochat, Gloria Liao, Rory R. Laubscher, Lee Leiber, Christopher I. Amos. amia 2021: [doi]

2020

Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based modelsXingyu Zheng, Christopher I. Amos, H. Robert Frost. bmcbi, 21(1):467, 2020. [doi]

Comparison of pathway and gene-level models for cancer prognosis predictionXingyu Zheng, Christopher I. Amos, H. Robert Frost. bmcbi, 21(1):76, 2020. [doi]

2019

An accurate and powerful method for copy number variation detectionFeifei Xiao, Xizhi Luo, Ning Hao, Yue Niu, Xiangjun Xiao, Guoshuai Cai, Christopher I. Amos, Heping Zhang. bioinformatics, 35(17):2891-2898, 2019. [doi]

2018

A multi-omics approach for identifying important pathways and genes in human cancerH. Robert Frost, Christopher I. Amos. bmcbi, 19(1), 2018. [doi]

A multi-omics approach for identifying important pathways and genes in human cancerH. Robert Frost, Christopher I. Amos. bmcbi, 19(1), 2018. [doi]

Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samplesIvan P. Gorlov, Claudio W. Pikielny, Hildreth R. Frost, Stephanie C. Her, Michael D. Cole, Samuel D. Strohbehn, David Wallace-Bradley, Marek Kimmel, Olga Y. Gorlova, Christopher I. Amos. bmcbi, 19(1), 2018. [doi]

An Efficient Survival Multifactor Dimensionality Reduction Method for Detecting Gene-Gene Interactions of Lung Cancer Onset AgeJennifer Luyapan, Xuemei Ji, Dakai Zhu, Todd A. MacKenzie, Christopher I. Amos, Jiang Gui. bibm 2018: 2779-2781 [doi]

2017

2016

2014

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factorsTimothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams. biodatamining, 7:10, 2014. [doi]

2012

Derived SNP Alleles are Used More Frequently than Ancestral Alleles as Risk-associated Variants in Common Human DiseasesOlga Y. Gorlova, Jun Ying, Christopher I. Amos, Margaret R. Spitz, Bo Peng, Ivan P. Gorlov. jbcb, 10(2), 2012. [doi]

2011

Genome-wide algorithm for detecting CNV associations with diseasesYaji Xu, Bo Peng, Yunxin Fu, Christopher I. Amos. bmcbi, 12:331, 2011. [doi]

2010

Forward-time simulation of realistic samples for genome-wide association studiesBo Peng, Christopher I. Amos. bmcbi, 11:442, 2010. [doi]

2009

Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collideDavid B. Allison, Peter M. Visscher, Guilherme J. M. Rosa, Christopher I. Amos. csda, 53(5):1531-1534, 2009. [doi]

2008

Forward-time simulations of non-random mating populations using simuPOPBo Peng, Christopher I. Amos. bioinformatics, 24(11):1408-1409, 2008. [doi]

2006

Strategies to Improve Healthcare WebsitesConstance M. Johnson, Susan K. Peterson, James P. Turley, Joe Ensor, Christopher I. Amos, Margaret R. Spitz, Bernard Levin, Donald Berry. amia 2006: [doi]

2005

An Informatics Tool to Assess Individualized Colon Cancer RiskConstance M. Johnson, Joe Ensor, Christopher I. Amos, Margaret R. Spitz, Susan K. Peterson, Bernard Levin, Donald Berry. amia 2005: [doi]

1999

KinSys: A Database Management ApplicationConstance M. Johnson, Christopher I. Amos. amia 1999: [doi]

Sign in or sign up to see more results.

runs on WebDSL