Biomarker Discovery with Text Mining and Literature Based Discovery
暂无分享,去创建一个
[1] J. Manson,et al. Diabetes, metformin, and breast cancer in postmenopausal women. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[2] Z. Chaudhry,et al. Health related quality of life assessment in Pakistani paediatric cancer patients using PedsQLTM 4.0 generic core scale and PedsQL™ cancer module , 2012, Health and Quality of Life Outcomes.
[3] Gopal R. Gopinath,et al. Correction: Reactome: a knowledge base of biologic pathways and processes , 2009, Genome Biology.
[4] Michael Hehenberger,et al. Text-based knowledge discovery: search and mining of life-sciences documents. , 2002, Drug discovery today.
[5] Zhiyong Lu,et al. Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases , 2011 .
[6] Jun'ichi Tsujii,et al. GENIA corpus - a semantically annotated corpus for bio-textmining , 2003, ISMB.
[7] Lorraine K. Tanabe,et al. GENETAG: a tagged corpus for gene/protein named entity recognition , 2005, BMC Bioinformatics.
[8] Byungkyu Brian Park,et al. HPID: The Human Protein Interaction Database , 2004, Bioinform..
[9] Georgios A. Pavlopoulos,et al. Caipirini: using gene sets to rank literature , 2012, BioData Mining.
[10] Bin Wang. BRCA1 tumor suppressor network: focusing on its tail , 2012, Cell & Bioscience.
[11] Bairong Shen,et al. Combined SVM-CRFs for Biological Named Entity Recognition with Maximal Bidirectional Squeezing , 2012, PloS one.
[12] S. Hayasaka,et al. A Network of Genes, Genetic Disorders, and Brain Areas , 2011, PloS one.
[13] A. Valencia,et al. A gene network for navigating the literature , 2004, Nature Genetics.
[14] J. Ajani,et al. Barrett's Esophagus: A Review of Biology and Therapeutic Approaches. , 2012, Gastrointestinal cancer research : GCR.
[15] Vladimir A. Ivanisenko,et al. Finding biomarkers in non-model species: literature mining of transcription factors involved in bovine embryo development , 2012, BioData Mining.
[16] José Luís Oliveira,et al. Concept-based query expansion for retrieving gene related publications from MEDLINE , 2010, BMC Bioinformatics.
[17] Jitender Sareen,et al. The Canadian Network for Mood and Anxiety Treatments (CANMAT) task force recommendations for the management of patients with mood disorders and comorbid substance use disorders. , 2012, Annals of clinical psychiatry : official journal of the American Academy of Clinical Psychiatrists.
[18] Carlo A. Trugenberger,et al. Discovery of novel biomarkers and phenotypes by semantic technologies , 2012, BMC Bioinformatics.
[19] A. Jemal,et al. Global Cancer Statistics , 2011 .
[20] Wen-Lian Hsu,et al. New Challenges for Biological Text-Mining in the Next Decade , 2010, Journal of Computer Science and Technology.
[21] Jun'ichi Tsujii,et al. Tuning support vector machines for biomedical named entity recognition , 2002, ACL Workshop on Natural Language Processing in the Biomedical Domain.
[22] Ying He,et al. Biological Entity Recognition with Conditional Random Fields , 2008, AMIA.
[23] Jeffrey Xu Yu,et al. Context-Sensitive Document Ranking , 2009, Journal of Computer Science and Technology.
[24] Chi-Ren Shyu,et al. Predicting Cancer Interaction Networks Using Text-Mining and Structure Understanding , 2006, AMIA.
[25] Jonathan D. Wren,et al. Shared relationship analysis: ranking set cohesion and commonalities within a literature-derived relationship network , 2004, Bioinform..
[26] Flora S. Tsai. Text mining and visualisation of Protein-Protein Interactions , 2011, Int. J. Comput. Biol. Drug Des..
[27] Francisco Azuaje,et al. Bioinformatics as a driver, not a passenger, of translational biomedical research: Perspectives from the 6th Benelux bioinformatics conference , 2012, Journal of Clinical Bioinformatics.
[28] U. Urzúa,et al. Tumor and reproductive traits are linked by RNA metabolism genes in the mouse ovary: a transcriptome-phenotype association analysis , 2010, BMC Genomics.
[29] Alfonso Valencia,et al. Implementing the iHOP concept for navigation of biomedical literature , 2005, ECCB/JBI.
[30] William R. Hersh,et al. A Survey of Current Work in Biomedical Text Mining , 2005 .
[31] Pierre Zweigenbaum,et al. Automatic extraction of semantic relations between medical entities: a rule based approach , 2011, J. Biomed. Semant..
[32] Jyrki Lötjönen,et al. Design and Application of a Generic Clinical Decision Support System for Multiscale Data , 2012, IEEE Transactions on Biomedical Engineering.
[33] Fredrik Olsson,et al. Protein names and how to find them , 2002, Int. J. Medical Informatics.
[34] Laura Inés Furlong,et al. Assessment of NER solutions against the first and second CALBC Silver Standard Corpus , 2011, Semantic Mining in Biomedicine.
[35] A. Liekens,et al. BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation , 2011, Genome Biology.
[36] M. Tripathi,et al. Epilepsy Surgery in a Pediatric Population: A Retrospective Study of 129 Children from a Tertiary Care Hospital in a Developing Country along with Assessment of Quality of Life , 2011, Pediatric Neurosurgery.
[37] T. Morita,et al. Primary concerns of advanced cancer patients identified through the structured life review process: A qualitative study using a text mining technique , 2007, Palliative and Supportive Care.
[38] Eugene Agichtein,et al. Combining Text Mining and Sequence Analysis to Discover Protein Functional Regions , 2003, Pacific Symposium on Biocomputing.
[39] Barry Smith,et al. Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base , 2010, BMC Bioinformatics.
[40] A. Korhonen,et al. Text Mining for Literature Review and Knowledge Discovery in Cancer Risk Assessment and Research , 2012, PloS one.
[41] Ulf Leser,et al. What makes a gene name? Named entity recognition in the biomedical literature , 2005, Briefings Bioinform..
[42] Sergei Egorov,et al. MedScan, a natural language processing engine for MEDLINE abstracts , 2003, Bioinform..
[43] Dietrich Rebholz-Schuhmann,et al. The BioLexicon: a large-scale terminological resource for biomedical text mining , 2011, BMC Bioinformatics.
[44] Sébastien Montel,et al. The EORTC QLQ-OH17: a supplementary module to the EORTC QLQ-C30 for assessment of oral health and quality of life in cancer patients. , 2012, European journal of cancer.
[45] Jun'ichi Tsujii,et al. Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data , 2005, HLT.
[46] P. Massion,et al. The State of Molecular Biomarkers for the Early Detection of Lung Cancer , 2012, Cancer Prevention Research.
[47] Lucy Skrabanek,et al. PDZBase: a protein?Cprotein interaction database for PDZ-domains , 2005, Bioinform..
[48] D. Swanson. Fish Oil, Raynaud's Syndrome, and Undiscovered Public Knowledge , 2015, Perspectives in biology and medicine.
[49] Russ B. Altman,et al. A literature-based method for assessing the functional coherence of a gene group , 2003, Bioinform..
[50] Hong Yu,et al. Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions , 2011, BMC Bioinformatics.
[51] Bob Carpenter. Character Language Models for Chinese Word Segmentation and Named Entity Recognition , 2006, SIGHAN@COLING/ACL.
[52] David L Robertson,et al. HIV-host interactions: a map of viral perturbation of the host system. , 2009, AIDS.
[53] Y. Zhang,et al. IntAct—open source resource for molecular interaction data , 2006, Nucleic Acids Res..
[54] Amitabh Sharma,et al. Lipids in Health and Disease , 2006 .
[55] Hanno Steen,et al. Development of human protein reference database as an initial platform for approaching systems biology in humans. , 2003, Genome research.
[56] Hui Li,et al. Biomarker Identification Using Text Mining , 2012, Comput. Math. Methods Medicine.
[57] J McEntyre,et al. PubMed: bridging the information gap. , 2001, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.
[58] A. Pakpour,et al. Translation and validation of the EORTC brain cancer module (EORTC QLQ-BN20) for use in Iran , 2012, Health and Quality of Life Outcomes.
[59] David L Robertson,et al. Cataloguing the HIV type 1 human protein interaction network. , 2008, AIDS research and human retroviruses.
[60] Naoaki Okazaki,et al. Data and text mining Building an abbreviation dictionary using a term recognition approach , 2006 .
[61] Helen L. Johnson,et al. Corpus Refactoring: a Feasibility Study , 2007, Journal of biomedical discovery and collaboration.
[62] Neri Merhav,et al. Hidden Markov processes , 2002, IEEE Trans. Inf. Theory.
[63] Lishuang Li,et al. Two-phase biomedical named entity recognition using CRFs , 2009, Comput. Biol. Chem..
[64] Cheng Zhang,et al. Biomedical text mining and its applications in cancer research , 2013, J. Biomed. Informatics.
[65] Yongliang Yang,et al. Target discovery from data mining approaches. , 2012, Drug discovery today.
[66] N. Saadat,et al. Encapsulated Insular Carcinoma of the Thyroid Arising in Graves’ Disease , 2012, International journal of surgical pathology.
[67] Daniel Hanisch,et al. ProMiner: rule-based protein and gene entity recognition , 2005, BMC Bioinformatics.
[68] Jugal K. Kalita,et al. Scalable biomedical Named Entity Recognition: investigation of a database-supported SVM approach , 2010, Int. J. Bioinform. Res. Appl..
[69] Lodewyk F. A. Wessels,et al. A Critical Evaluation of Network and Pathway-Based Classifiers for Outcome Prediction in Breast Cancer , 2011, PloS one.
[70] S. Boyer,et al. Automatic mining of the literature to generate new hypotheses for the possible link between periodontitis and atherosclerosis: lipopolysaccharide as a case study. , 2007, Journal of clinical periodontology.
[71] Christian von Mering,et al. STRING 8—a global view on proteins and their functional interactions in 630 organisms , 2008, Nucleic Acids Res..
[72] Marti A. Hearst,et al. A Simple Algorithm for Identifying Abbreviation Definitions in Biomedical Text , 2002, Pacific Symposium on Biocomputing.
[73] S. Chatterjee,et al. Unraveling the Design Principle for Motif Organization in Signaling Networks , 2011, PloS one.
[74] Balázs Papp,et al. Systems-biology approaches for predicting genomic evolution , 2011, Nature Reviews Genetics.
[75] Adeeba Kamarulzaman,et al. AIDS Res Hum Retroviruses , 2006 .
[76] Richard J. Epstein,et al. Unblocking Blockbusters: Using Boolean Text-Mining to Optimise Clinical Trial Design and Timeline for Novel Anticancer Drugs , 2009, Cancer informatics.
[77] T. Park,et al. Pathway-Based Evaluation in Early Onset Colorectal Cancer Suggests Focal Adhesion and Immunosuppression along with Epithelial-Mesenchymal Transition , 2012, PloS one.
[78] C. Dass,et al. Cell and Molecular Biology Underpinning the Effects of PEDF on Cancers in General and Osteosarcoma in Particular , 2012, Journal of biomedicine & biotechnology.
[79] Sandhya Rani,et al. Human Protein Reference Database—2009 update , 2008, Nucleic Acids Res..
[80] A. Sinha,et al. Cytokine networks in Pemphigus vulgaris: An integrated viewpoint , 2012, Autoimmunity.
[81] Chris Sander,et al. Introducing meta-services for biomedical information extraction , 2008, Genome Biology.
[82] Su Jian,et al. Exploring Deep Knowledge Resources in Biomedical Name Recognition , 2004, NLPBA/BioNLP.
[83] T. Jenssen,et al. A literature network of human genes for high-throughput analysis of gene expression , 2001 .
[84] Gregory Piatetsky-Shapiro,et al. Knowledge Discovery in Databases: An Overview , 1992, AI Mag..
[85] Xiaoyan Zhu,et al. Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts , 2009, PLoS Comput. Biol..
[86] Colin Macilwain,et al. Systems Biology: Evolving into the Mainstream , 2011, Cell.
[87] Sophia Ananiadou,et al. How to make the most of NE dictionaries in statistical NER , 2008, BMC Bioinformatics.
[88] Shih-Hung Wu,et al. Integrating linguistic knowledge into a conditional random fieldframework to identify biomedical named entities , 2006, Expert systems with applications.
[89] Xing-Ming Zhao,et al. Identifying dysregulated pathways in cancers from pathway interaction networks , 2012, BMC Bioinformatics.
[90] Barbara Rosario,et al. Multi-way Relation Classification: Application to Protein-Protein Interactions , 2005, HLT.
[91] Barbara Rosario,et al. Classifying Semantic Relations in Bioscience Texts , 2004, ACL.
[92] Edward L. Giovannucci,et al. Lycopene, Tomato Products, and Prostate Cancer Incidence: A Review and Reassessment in the PSA Screening Era , 2012, Journal of oncology.
[93] Jiabao Xu,et al. A mouse protein interactome through combined literature mining with multiple sources of interaction evidence , 2010, Amino Acids.
[94] Burr Settles. ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text , 2005 .
[95] Simon C. Potter,et al. A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans , 2012, PLoS ONE.
[96] R. Altman,et al. Using text analysis to identify functionally coherent gene groups. , 2002, Genome research.
[97] Donna R. Maglott,et al. Human immunodeficiency virus type 1, human protein interaction database at NCBI , 2008, Nucleic Acids Res..
[98] Jeremy S Logue,et al. Complexity in the signaling network: insights from the use of targeted inhibitors in cancer therapy. , 2012, Genes & development.
[99] Zhiyong Lu,et al. Overview of the BioCreative III Workshop , 2011, BMC Bioinformatics.
[100] Ioannis N. Melas,et al. Construction of signaling pathways and identification of drug effects on the liver cancer cell HepG2 , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[101] Alan R. Aronson,et al. An overview of MetaMap: historical perspective and recent advances , 2010, J. Am. Medical Informatics Assoc..
[102] Teruyoshi Hishiki,et al. Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning , 2005, Pacific Symposium on Biocomputing.
[103] Barbara Rosario,et al. Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy , 2001, EMNLP.
[104] Lodovico Balducci,et al. Cancer and age: general considerations. , 2012, Clinics in geriatric medicine.
[105] Yael Garten,et al. Recent progress in automatically extracting information from the pharmacogenomic literature. , 2010, Pharmacogenomics.
[106] Hao Chen,et al. Content-rich biological network constructed by mining PubMed abstracts , 2004, BMC Bioinformatics.
[107] Jari Björne,et al. BioInfer: a corpus for information extraction in the biomedical domain , 2007, BMC Bioinformatics.
[108] Mohammed Al-Shalalfa,et al. Protein network-based Lasso regression model for the construction of disease-miRNA functional interactions , 2013, EURASIP J. Bioinform. Syst. Biol..