暂无分享,去创建一个
Fabio Cumbo | Fabrizio Celli | Emanuel Weitschek | Emanuel Weitschek | Fabio Cumbo | F. Celli | Fabrizio Celli
[1] M. Esteller,et al. DNA methylation and cancer. , 2010, Advances in genetics.
[2] Amiram Gafni,et al. BRCA1 and BRCA2 , 2013 .
[3] C. Arnaud. The $1,000 genome , 2005 .
[4] Giovanni Felici,et al. CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules , 2015, Bioinform..
[5] Andrew E. Teschendorff,et al. A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform , 2012, BMC Bioinformatics.
[6] A. Bird. DNA methylation patterns and epigenetic memory. , 2002, Genes & development.
[7] Qing Zhao,et al. Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA , 2015, Briefings Bioinform..
[8] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[9] Gianluca Bontempi,et al. A comprehensive overview of Infinium HumanMethylation450 data processing , 2013, Briefings Bioinform..
[10] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[11] Giovanni Felici,et al. Supervised DNA Barcodes species classification: analysis, comparisons and results , 2014, BioData Mining.
[12] Xiao Zhang,et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis , 2010, BMC Bioinformatics.
[13] Jie Tan,et al. Big Data Bioinformatics , 2014, Journal of cellular physiology.
[14] Kyunghee Park,et al. Clinical implications of genomic profiles in metastatic breast cancer with a focus on TP53 and PIK3CA, the most frequently mutated genes , 2017, Oncotarget.
[15] Francine E. Garrett-Bakelman,et al. methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles , 2012, Genome Biology.
[16] Kenny Q. Ye,et al. An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation , 2008, PloS one.
[17] Robert P. Sheridan,et al. Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling , 2003, J. Chem. Inf. Comput. Sci..
[18] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[19] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[20] Ameet Talwalkar,et al. MLlib: Machine Learning in Apache Spark , 2015, J. Mach. Learn. Res..
[21] Gangning Liang,et al. DNA methylation screening identifies driver epigenetic events of cancer cell survival. , 2012, Cancer cell.
[22] Daniele Santoni,et al. Next generation sequencing reads comparison with an alignment-free distance , 2014, BMC Research Notes.
[23] Qiu Qin,et al. Genome-wide DNA methylation analysis in Graves' disease. , 2015, Genomics.
[24] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[25] Jin Gu,et al. Genome-wide DNA methylation analysis identifies candidate epigenetic markers and drivers of hepatocellular carcinoma , 2016, Briefings Bioinform..
[26] Melissa Rodrigues,et al. A new case of “de novo” BRCA1 mutation in a patient with early‐onset breast cancer , 2017, Clinical case reports.
[27] A. Feinberg,et al. The epigenetic progenitor origin of human cancer , 2006, Nature Reviews Genetics.
[28] William W. Cohen. Fast Effective Rule Induction , 1995, ICML.
[29] Holly Neibergs,et al. Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2 , 2004 .
[30] C. Nordborg,et al. MethPed: a DNA methylation classifier tool for the identification of pediatric brain tumor subtypes , 2015, Clinical Epigenetics.
[31] M. Esteller,et al. Validation of a DNA methylation microarray for 850,000 CpG sites of the human genome enriched in enhancer sequences , 2015, Epigenomics.
[32] Jeffrey B. Cheng,et al. Estimating absolute methylation levels at single-CpG resolution from methylation enrichment and restriction enzyme sequencing methods , 2013, RECOMB.
[33] K. Tomczak,et al. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge , 2015, Contemporary oncology.
[34] Thomas E. Bartlett,et al. A DNA Methylation Network Interaction Measure, and Detection of Network Oncomarkers , 2014, PloS one.
[35] Erika Check Hayden,et al. Technology: The $1,000 genome , 2014, Nature.
[36] Yi-Fang Tsai,et al. Brain-derived neurotrophic factor (BDNF) -TrKB signaling modulates cancer-endothelial cells interaction and affects the outcomes of triple negative breast cancer , 2017, PloS one.
[37] Giovanni Felici,et al. Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer , 2016, 2016 27th International Workshop on Database and Expert Systems Applications (DEXA).
[38] Hanlee P. Ji,et al. Next-generation DNA sequencing , 2008, Nature Biotechnology.
[39] Leo Lebanov,et al. Random Forests machine learning applied to gas chromatography - Mass spectrometry derived average mass spectrum data sets for classification and characterisation of essential oils. , 2020, Talanta.
[40] S. Baylin,et al. DNA methylation and gene silencing in cancer , 2005, Nature Clinical Practice Oncology.
[41] Carlo Curino,et al. Apache Hadoop YARN: yet another resource negotiator , 2013, SoCC.
[42] J. Herman,et al. Aberrant patterns of DNA methylation, chromatin formation and gene expression in cancer. , 2001, Human molecular genetics.
[43] Ruth Pidsley,et al. A data-driven approach to preprocessing Illumina 450K methylation array data , 2013, BMC Genomics.
[44] C. Land,et al. Early-onset breast cancer in A-bomb survivors , 1993, The Lancet.
[45] Joshua M. Stuart,et al. The Cancer Genome Atlas Pan-Cancer analysis project , 2013, Nature Genetics.