Integrating personalized gene expression profiles into predictive disease-associated gene pools
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Frédéric Baribaud | Albert-László Barabási | Emre Guney | Jörg Menche | Amitabh Sharma | Radu Dobrin | Matthew J Loza | A. Barabasi | Radu Dobrin | E. Guney | Jörg Menche | Amitabh Sharma | M. Loza | F. Baribaud | P. Branigan | Patrick J Branigan | R. Dobrin | A. Barabási
[1] R V Jensen,et al. Genome-wide expression profiling of human blood reveals biomarkers for Huntington's disease. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[2] Nicola A Hanania,et al. Lebrikizumab treatment in adults with asthma. , 2011, The New England journal of medicine.
[3] A. Barabasi,et al. Uncovering disease-disease relationships through the incomplete interactome , 2015, Science.
[4] S. Hannenhalli,et al. Determinants of expression variability , 2014, Nucleic acids research.
[5] D. Slonim. From patterns to pathways: gene expression data analysis comes of age , 2002, Nature Genetics.
[6] Benjamin J. Raphael,et al. Pan-Cancer Network Analysis Identifies Combinations of Rare Somatic Mutations across Pathways and Protein Complexes , 2014, Nature Genetics.
[7] R. Redon,et al. Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes , 2007, Science.
[8] Dan Xie,et al. Variation and Genetic Control of Protein Abundance in Humans , 2013, Nature.
[9] S. Muller,et al. Roles of epithelial cell-derived periostin in TGF-β activation, collagen production, and collagen gel elasticity in asthma , 2010, Proceedings of the National Academy of Sciences.
[10] D. Koller,et al. Population genomics of human gene expression , 2007, Nature Genetics.
[11] Gordon K. Smyth,et al. limma: Linear Models for Microarray Data , 2005 .
[12] David Haussler,et al. Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM , 2010, Bioinform..
[13] A. Sparks,et al. The Genomic Landscapes of Human Breast and Colorectal Cancers , 2007, Science.
[14] J. Carpten,et al. Translating RNA sequencing into clinical diagnostics: opportunities and challenges , 2016, Nature Reviews Genetics.
[15] K. Kinzler,et al. Cancer Genome Landscapes , 2013, Science.
[16] Eytan Domany,et al. Outcome signature genes in breast cancer: is there a unique set? , 2004, Breast Cancer Research.
[17] Ruth Nussinov,et al. Structure and dynamics of molecular networks: A novel paradigm of drug discovery. A comprehensive review , 2012, Pharmacology & therapeutics.
[18] Joshua T. Burdick,et al. Common genetic variants account for differences in gene expression among ethnic groups , 2007, Nature Genetics.
[19] D. Maraganore,et al. A Genomic Pathway Approach to a Complex Disease: Axon Guidance and Parkinson Disease , 2007, PLoS genetics.
[20] N. Flamand,et al. CCL26/eotaxin‐3 is more effective to induce the migration of eosinophils of asthmatics than CCL11/eotaxin‐1 and CCL24/eotaxin‐2 , 2013, Journal of leukocyte biology.
[21] Malik Yousef,et al. Gene expression profiles in peripheral blood mononuclear cells can distinguish patients with non-small cell lung cancer from patients with nonmalignant lung disease. , 2009, Cancer research.
[22] Zhaolei Zhang,et al. Exploiting the determinants of stochastic gene expression in Saccharomyces cerevisiae for genome-wide prediction of expression noise , 2010, Proceedings of the National Academy of Sciences.
[23] N. Hanania,et al. Periostin, a novel biomarker of TH2-driven asthma , 2014, Current opinion in pulmonary medicine.
[24] M. Alexander,et al. Cytokine-stimulated human lung alveolar epithelial cells release eotaxin-2 (CCL24) and eotaxin-3 (CCL26). , 2005, Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research.
[25] S. Lam,et al. Asthma characteristics and biomarkers from the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) longitudinal profiling study , 2015, Respiratory Research.
[26] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[27] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[28] J. Growdon,et al. Molecular markers of early Parkinson's disease based on gene expression in blood , 2007, Proceedings of the National Academy of Sciences.
[29] S. Toda,et al. Periostin: a novel component of subepithelial fibrosis of bronchial asthma downstream of IL-4 and IL-13 signals. , 2006, The Journal of allergy and clinical immunology.
[30] A. Oudenaarden,et al. Cellular Decision Making and Biological Noise: From Microbes to Mammals , 2011, Cell.
[31] Jeffrey W. Smith,et al. Stochastic Gene Expression in a Single Cell , 2022 .
[32] A. Bird,et al. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals , 2003, Nature Genetics.
[33] Vivian G. Cheung,et al. Genetics of human gene expression: mapping DNA variants that influence gene expression , 2009, Nature Reviews Genetics.
[34] G. T. Sanctis,et al. NF-kappa B/Rel transcription factors: c-Rel promotes airway hyperresponsiveness and allergic pulmonary inflammation. , 1999, Journal of immunology.
[35] Frederick P. Roth,et al. Next generation software for functional trend analysis , 2009, Bioinform..
[36] A. Alavi,et al. Opportunities and Challenges , 1998, In Vitro Diagnostic Industry in China.
[37] M. Asakura,et al. Global gene expression profiling in the failing myocardium. , 2009, Circulation journal : official journal of the Japanese Circulation Society.
[38] W. MacNee,et al. Genome-wide mRNA expression profiling in vastus lateralis of COPD patients with low and normal fat free mass index and healthy controls , 2015, Respiratory Research.
[39] David Warde-Farley,et al. Dynamic modularity in protein interaction networks predicts breast cancer outcome , 2009, Nature Biotechnology.
[40] S. Blankenberg,et al. Blood-based gene expression tests: promises and limitations. , 2013, Circulation. Cardiovascular genetics.
[41] Beau Dabbs,et al. Summary and discussion of : “ Controlling the False Discovery Rate : A Practical and Powerful Approach to Multiple Testing , 2014 .
[42] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .