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ORCIDChristopher I. Amos
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2020 – today
- 2022
[j17]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:
Iam hiQ - a novel pair of accuracy indices for imputed genotypes. BMC Bioinform. 23(1): 50 (2022)- 2021
- [c5]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:
Lessons Learned from an Enterprise-Wide Clinical Datathon. AMIA 2021 - 2020
- [j16]Xingyu Zheng, Christopher I. Amos, H. Robert Frost:
Comparison of pathway and gene-level models for cancer prognosis prediction. BMC Bioinform. 21(1): 76 (2020) - [j15]Xingyu Zheng, Christopher I. Amos, H. Robert Frost:
Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models. BMC Bioinform. 21(1): 467 (2020)
2010 – 2019
- 2019
- [j14]Feifei Xiao, Xizhi Luo, Ning Hao, Yue Niu, Xiangjun Xiao, Guoshuai Cai, Christopher I. Amos, Heping Zhang:
An accurate and powerful method for copy number variation detection. Bioinform. 35(17): 2891-2898 (2019) - 2018
- [j13]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:
Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples. BMC Bioinform. 19(1): 430:1-430:14 (2018) - [j12]H. Robert Frost, Christopher I. Amos:
A multi-omics approach for identifying important pathways and genes in human cancer. BMC Bioinform. 19(1): 479:1-479:14 (2018) - [c4]Jennifer Luyapan, Xuemei Ji, Dakai Zhu, Todd A. MacKenzie, Christopher I. Amos, Jiang Gui:
An Efficient Survival Multifactor Dimensionality Reduction Method for Detecting Gene-Gene Interactions of Lung Cancer Onset Age. BIBM 2018: 2779-2781 - 2017
- [j11]David C. Qian, Jonathan A. Busam, Xiangjun Xiao, Tracy A. O'Mara, Rosalind A. Eeles, Frederick R. Schumacher, Catherine M. Phelan, Christopher I. Amos:
seXY: a tool for sex inference from genotype arrays. Bioinform. 33(4): 561-563 (2017) - [j10]Stefanie Friedrichs, Juliane Manitz, Patricia Burger, Christopher I. Amos, Angela Risch, Jenny Chang-Claude, Heinz-Erich Wichmann, Thomas Kneib, Heike Bickeböller, Benjamin Hofner:
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. Comput. Math. Methods Medicine 2017: 6742763:1-6742763:17 (2017) - 2016
- [j9]Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li:
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinform. 32(1): 50-57 (2016) - [j8]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:
FastPop: a rapid principal component derived method to infer intercontinental ancestry using genetic data. BMC Bioinform. 17: 122 (2016) - [j7]H. Robert Frost, Christopher I. Amos:
Unsupervised gene set testing based on random matrix theory. BMC Bioinform. 17: 442:1-442:16 (2016) - 2014
- [j6]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:
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Min. 7: 10 (2014) - 2012
- [j5]Olga Y. Gorlova, Jun Ying, Christopher I. Amos, Margaret R. Spitz, Bo Peng, Ivan P. Gorlov:
Derived SNP Alleles are Used More Frequently than Ancestral Alleles as Risk-associated Variants in Common Human Diseases. J. Bioinform. Comput. Biol. 10(2) (2012) - 2011
- [j4]Yaji Xu, Bo Peng, Yunxin Fu, Christopher I. Amos:
Genome-wide algorithm for detecting CNV associations with diseases. BMC Bioinform. 12: 331 (2011) - 2010
- [j3]Bo Peng, Christopher I. Amos:
Forward-time simulation of realistic samples for genome-wide association studies. BMC Bioinform. 11: 442 (2010)
2000 – 2009
- 2009
- [j2]David B. Allison, Peter M. Visscher, Guilherme J. M. Rosa, Christopher I. Amos:
Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide. Comput. Stat. Data Anal. 53(5): 1531-1534 (2009) - 2008
- [j1]Bo Peng, Christopher I. Amos:
Forward-time simulations of non-random mating populations using simuPOP. Bioinform. 24(11): 1408-1409 (2008) - 2006
- [c3]Constance M. Johnson, Susan K. Peterson, James P. Turley, Joe Ensor, Christopher I. Amos, Margaret R. Spitz, Bernard Levin, Donald Berry:
Strategies to Improve Healthcare Websites. AMIA 2006 - 2005
- [c2]Constance M. Johnson, Joe Ensor, Christopher I. Amos, Margaret R. Spitz, Susan K. Peterson, Bernard Levin, Donald Berry:
An Informatics Tool to Assess Individualized Colon Cancer Risk. AMIA 2005
1990 – 1999
- 1999
- [c1]Constance M. Johnson, Christopher I. Amos:
KinSys: A Database Management Application. AMIA 1999
Coauthor Index
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