Transcriptional Profiles from Paired Normal Samples Offer Complementary Information on Cancer Patient Survival – Evidence from TCGA Pan-Cancer Data
暂无分享,去创建一个
[1] A. Nobel,et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[2] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[3] Paula D. Bos,et al. Metastasis: from dissemination to organ-specific colonization , 2009, Nature Reviews Cancer.
[4] N. Hu,et al. PLCE1 mRNA and Protein Expression and Survival of Patients with Esophageal Squamous Cell Carcinoma and Gastric Adenocarcinoma , 2014, Cancer Epidemiology, Biomarkers & Prevention.
[5] 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.
[6] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[7] Melissa A Troester,et al. Gene expression in extratumoral microenvironment predicts clinical outcome in breast cancer patients , 2012, Breast Cancer Research.
[8] C. Heaphy,et al. Mammary field cancerization: molecular evidence and clinical importance , 2009, Breast Cancer Research and Treatment.
[9] F. Baker. Stability of Two Hierarchical Grouping Techniques Case I: Sensitivity to Data Errors , 1974 .
[10] Jason R. Pirone,et al. Activation of Host Wound Responses in Breast Cancer Microenvironment , 2009, Clinical Cancer Research.
[11] D.,et al. Regression Models and Life-Tables , 2022 .
[12] J. Guillem,et al. Prediction of colorectal cancer relapse and survival via tissue RNA levels of matrix metalloproteinase-9. , 1996, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[13] Gary D Bader,et al. International network of cancer genome projects , 2010, Nature.
[14] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[15] A. Hart,et al. Marker genes for circulating tumour cells predict survival in metastasized breast cancer patients , 2003, British Journal of Cancer.
[16] Andrew H. Beck,et al. Etiologic field effect: reappraisal of the field effect concept in cancer predisposition and progression , 2015, Modern Pathology.
[17] Udaya B. Kogalur,et al. Random Survival Forests for R , 2007 .
[18] Camille Roth,et al. Natural Scales in Geographical Patterns , 2017, Scientific Reports.
[19] Robert E. Brown,et al. Field effect in cancer-an update. , 2009, Annals of clinical and laboratory science.
[20] Joe W. Gray,et al. Genomic aberrations in normal tissue adjacent to HER2-amplified breast cancers: field cancerization or contaminating tumor cells? , 2012, Breast Cancer Research and Treatment.
[21] Hadley Wickham,et al. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .
[22] L. Breiman. OUT-OF-BAG ESTIMATION , 1996 .
[23] D. Cox. Regression Models and Life-Tables , 1972 .
[24] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[25] H. Zou,et al. A cocktail algorithm for solving the elastic net penalized Cox’s regression in high dimensions , 2013 .
[26] Hiroyuki Ogata,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..
[27] Xi Chen,et al. Random survival forests for high‐dimensional data , 2011, Stat. Anal. Data Min..
[28] Hyun Cheol Chung,et al. High KLF4 level in normal tissue predicts poor survival in colorectal cancer patients , 2014, World Journal of Surgical Oncology.
[29] C. Sander,et al. Mutual exclusivity analysis identifies oncogenic network modules. , 2012, Genome research.
[30] Roded Sharan,et al. Simultaneous Identification of Multiple Driver Pathways in Cancer , 2013, PLoS Comput. Biol..