Christopher I. Amos

According to our database, Christopher I. Amos authored at least 22 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Iam hiQ - a novel pair of accuracy indices for imputed genotypes.

Albert Rosenberger, Viola Tozzi, Heike Bickeböller, Rayjean J. Hung, David C. Christiani, Neil E. Caporaso, Geoffrey Liu, Stig E. Bojesen, Loic Le Marchand, Demetrios Albanes, Melinda C. Aldrich, Adonina Tardon, Guillermo Fernández-Tardón, Gad Rennert, John K. Field, Mike Davies, Triantafillos Liloglou, Lambertus A. Kiemeney, Philip Lazarus, Aage Haugen, Shanbeh Zienolddiny, Stephen Lam, Matthew B. Schabath, Angeline S. Andrew, Eric J. Duell, Susanne M. Arnold, Hans Brunnström, Olle Melander, Gary E. Goodman, Chu Chen, Jennifer A. Doherty, Marion Dawn Teare, Angela Cox, Penella J. Woll, Angela Risch, Thomas R. Muley, Mikael Johansson, Paul Brennan, Maria Teresa Landi, Sanjay Shete, Christopher I. Amos

BMC Bioinform., 2022

2021

Lessons Learned from an Enterprise-Wide Clinical Datathon.

Andrew 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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models.

Xingyu Zheng, Christopher I. Amos, H. Robert Frost

BMC Bioinform., 2020

Comparison of pathway and gene-level models for cancer prognosis prediction.

Xingyu Zheng, Christopher I. Amos, H. Robert Frost

BMC Bioinform., 2020

2019

An accurate and powerful method for copy number variation detection.

Feifei Xiao, Xizhi Luo, Ning Hao, Yue Niu, Xiangjun Xiao, Guoshuai Cai, Christopher I. Amos, Heping Zhang

Bioinform., 2019

2018

Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples.

Ivan 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

BMC Bioinform., 2018

A multi-omics approach for identifying important pathways and genes in human cancer.

H. Robert Frost, Christopher I. Amos

BMC Bioinform., 2018

An Efficient Survival Multifactor Dimensionality Reduction Method for Detecting Gene-Gene Interactions of Lung Cancer Onset Age.

Jennifer Luyapan, Xuemei Ji, Dakai Zhu, Todd A. MacKenzie, Christopher I. Amos, Jiang Gui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies.

Stefanie Friedrichs, Juliane Manitz, Patricia Burger, Christopher I. Amos, Angela Risch, Jenny Chang-Claude, Heinz-Erich Wichmann, Thomas Kneib, Heike Bickeböller, Benjamin Hofner

Comput. Math. Methods Medicine, 2017

seXY: a tool for sex inference from genotype arrays.

David C. Qian, Jonathan A. Busam, Xiangjun Xiao, Tracy A. O'Mara, Rosalind A. Eeles, Frederick R. Schumacher, Catherine M. Phelan, Christopher I. Amos

Bioinform., 2017

2016

FastPop: a rapid principal component derived method to infer intercontinental ancestry using genetic data.

Yafang Li, Jinyoung Byun, Guoshuai Cai, Xiangjun Xiao, Younghun Han, Olivier Cornelis, James E. Dinulos, Joe Dennis, Douglas F. Easton, Ivan P. Gorlov, Michael F. Seldin, Christopher I. Amos

BMC Bioinform., 2016

Unsupervised gene set testing based on random matrix theory.

H. Robert Frost, Christopher I. Amos

BMC Bioinform., 2016

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.

Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li

Bioinform., 2016

2014

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors.

Timothy 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

BioData Min., 2014

2012

Derived SNP Alleles are Used More Frequently than Ancestral Alleles as Risk-associated Variants in Common Human Diseases.

Olga Y. Gorlova, Jun Ying, Christopher I. Amos, Margaret R. Spitz, Bo Peng, Ivan P. Gorlov

J. Bioinform. Comput. Biol., 2012

2011

Genome-wide algorithm for detecting CNV associations with diseases.

Yaji Xu, Bo Peng, Yunxin Fu, Christopher I. Amos

BMC Bioinform., 2011

2010

Forward-time simulation of realistic samples for genome-wide association studies.

Bo Peng, Christopher I. Amos

BMC Bioinform., 2010

2009

Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide.

David B. Allison, Peter M. Visscher, Guilherme J. M. Rosa, Christopher I. Amos

Comput. Stat. Data Anal., 2009

2008

Forward-time simulations of non-random mating populations using simuPOP.

Bo Peng, Christopher I. Amos

Bioinform., 2008

2006

Strategies to Improve Healthcare Websites.

Constance M. Johnson, Susan K. Peterson, James P. Turley, Joe Ensor, Christopher I. Amos, Margaret R. Spitz, Bernard Levin, Donald Berry

Proceedings of the AMIA 2006, 2006

2005

An Informatics Tool to Assess Individualized Colon Cancer Risk.

Constance M. Johnson, Joe Ensor, Christopher I. Amos, Margaret R. Spitz, Susan K. Peterson, Bernard Levin, Donald Berry

Proceedings of the AMIA 2005, 2005

1999

KinSys: A Database Management Application.

Constance M. Johnson, Christopher I. Amos

Proceedings of the AMIA 1999, 1999