Christopher Amos

Christopher Ian Amos is an American genetic epidemiologist and the director of the Institute for Clinical and Translational Research at Baylor College of Medicine, where he is also the associate director for quantitative science at the Dan L Duncan Comprehensive Cancer Center. He is known for his research on the genetic basis of certain types of human cancer. Provided by Wikipedia
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  1. 1
    Principal components analysis of population admixture.
    by Jianzhong Ma, Christopher I Amos
    Published 2012-01-01
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  2. 2
    Investigation of inversion polymorphisms in the human genome using principal components analysis.
    by Jianzhong Ma, Christopher I Amos
    Published 2012-01-01
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  3. 3
    Theoretical formulation of principal components analysis to detect and correct for population stratification.
    by Jianzhong Ma, Christopher I Amos
    Published 2010-09-01
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  4. 4
    A multi-omics approach for identifying important pathways and genes in human cancer
    by H. Robert Frost, Christopher I. Amos
    Published 2018-12-01
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  5. 5
    Gene by Environment Interaction Linking the Chromosome 15q25 Locus with Cigarette Consumption and Lung Cancer Susceptibility - Are African American Affected Differently? — Authors' Reply
    by Sean P. David, Christopher I. Amos
    Published 2016-02-01
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    Article
  6. 6
    Forward-time simulations of human populations with complex diseases.
    by Bo Peng, Christopher I Amos, Marek Kimmel
    Published 2007-03-01
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  7. 7
    A unified framework integrating parent-of-origin effects for association study.
    by Feifei Xiao, Jianzhong Ma, Christopher I Amos
    Published 2013-01-01
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  8. 8
    Genetic association analysis of complex diseases incorporating intermediate phenotype information.
    by Yafang Li, Jian Huang, Christopher I Amos
    Published 2012-01-01
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  9. 9
    Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models
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  10. 10
    Acquired Uniparental Disomy Regions Are Associated with Disease Outcome in Patients with Oral Cavity and Oropharynx But Not Larynx Cancers
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  11. 11
    Comparison of pathway and gene-level models for cancer prognosis prediction
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  12. 12
    Genome-Wide Analysis of Head and Neck Squamous Cell Carcinomas Reveals HPV, TP53, Smoking and Alcohol-Related Allele-Based Acquired Uniparental Disomy Genomic Alterations
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  13. 13
    Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction
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  14. 14
    Allelic Spectra of Risk SNPs Are Different for Environment/Lifestyle Dependent versus Independent Diseases.
    by Ivan P Gorlov, Olga Y Gorlova, Christopher I Amos
    Published 2015-07-01
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  15. 15
    Computational immune profiling in lung adenocarcinoma reveals reproducible prognostic associations with implications for immunotherapy
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  16. 16
    Predictors of disease aggressiveness influence outcome from immunotherapy treatment in renal clear cell carcinoma
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  17. 17
    Genome-Wide Profiling of Acquired Uniparental Disomy Reveals Prognostic Factors in Head and Neck Squamous Cell Carcinoma
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  18. 18
    RNA-Seq Analysis of Differential Splice Junction Usage and Intron Retentions by DEXSeq.
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  19. 19
    Accelerating haplotype-based genome-wide association study using perfect phylogeny and phase-known reference data.
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  20. 20
    Association between acquired uniparental disomy and homozygous mutations and HER2/ER/PR status in breast cancer.
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