Biomedical text mining and its applications in cancer research.
about
Network analyses of sperm-egg recognition and binding: ready to rethink fertility mechanisms?Weakly supervised learning of biomedical information extraction from curated dataCombining QSAR Modeling and Text-Mining Techniques to Link Chemical Structures and Carcinogenic Modes of ActionIntegrating text mining, data mining, and network analysis for identifying genetic breast cancer trendsSparkText: Biomedical Text Mining on Big Data Framework.The role of breast-feeding in infant immune system: a systems perspective on the intestinal microbiomeSemantic biomedical resource discovery: a Natural Language Processing framework.Validation of natural language processing to extract breast cancer pathology procedures and results.Text mining for identifying topics in the literatures about adolescent substance use and depressionText mining for improved exposure assessmentA Review of Recent Advancement in Integrating Omics Data with Literature Mining towards Biomedical Discoveries.Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion.Informatics Support for Basic Research in Biomedicine.Analysis of Protein Phosphorylation and Its Functional Impact on Protein-Protein Interactions via Text Mining of the Scientific Literature.Automatic semantic classification of scientific literature according to the hallmarks of cancerText mining applications in psychiatry: a systematic literature review.Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text MiningText Mining in Biomedical Domain with Emphasis on Document Clustering.A new synonym-substitution method to enrich the human phenotype ontology.Ionizing radiation: mechanisms and therapeutics.Computational advances in cancer informatics (a).A semantic-based workflow for biomedical literature annotation.eGARD: Extracting associations between genomic anomalies and drug responses from text.Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer.Integrating Open Data on Cancer in Support to Tumor Growth AnalysisGeneration and quality control of lipidomics data for the alzheimer's disease neuroimaging initiative cohort
P2860
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P2860
Biomedical text mining and its applications in cancer research.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Biomedical text mining and its applications in cancer research.
@en
type
label
Biomedical text mining and its applications in cancer research.
@en
prefLabel
Biomedical text mining and its applications in cancer research.
@en
P2093
P1476
Biomedical text mining and its applications in cancer research.
@en
P2093
Asawin Meechai
Cheng Zhang
Jonathan Chan
Preecha Patumcharoenpol
Wanwipa Vongsangnak
P304
P356
10.1016/J.JBI.2012.10.007
P50
P577
2012-11-15T00:00:00Z