Results 81 to 90 of about 157,658 (286)

Using Neural Networks for Relation Extraction from Biomedical Literature

, 2020
Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems.
A Koike, A Lamurias, A Lamurias, A Lamurias, A Lamurias, A Singhal, AV Aho, B Xu, CD Manning, CH Alves, D Westergaard, D Zhou, E Guresen, F Rinaldi, HC Wang, HM Müller, J Hastings, L Aroyo, M Ashburner, MY Kim, N Ma, N Peng, P Goyal, P Zweigenbaum, PN Robinson, Q Li, QL Nguyen, S HayKin, S Hochreiter, TR Gruber, W Wang, WWM Fleuren, Y Hao, Y Luo, Y Xu   +34 more
core   +1 more source

Services for annotation of biomedical text [PDF]

, 2008
Motivation: Text mining in the biomedical domain in recent years has focused on the development of tools for recognizing named entities and extracting relations.

core   +1 more source

Halorotetin B, A Novel Terpenoid Compound Derived from Marine Ascidian, Suppresses Tumor Growth by Targeting the Cell Cycle Regulator UBE2C

Advanced Science, EarlyView.
Halorotetin B, a novel small‐molecule terpenoid identified from an edible marine ascidian, exhibits strong anti‐tumor activity both in vitro and in vivo through direct targeting UBE2C to induce tumor cell cycle arrest and then lead tumor cell senescence. As a newly discovered UBE2C inhibitor, Halorotetin B can serve as a novel potential cell senescence
Shanhao Han, Jianhui Li, Yuting Zhu, Penghui Liu, Yaoyao Zheng, Muchun He, Bo Dong   +6 more
wiley   +1 more source

The structural and content aspects of abstracts versus bodies of full text journal articles are different

BMC Bioinformatics, 2010
Background An increase in work on the full text of journal articles and the growth of PubMedCentral have the opportunity to create a major paradigm shift in how biomedical text mining is done.
Roeder Christophe, Verspoor Karin, Johnson Helen L, Cohen K Bretonnel, Hunter Lawrence E   +4 more
doaj   +1 more source

Towards cross-lingual alerting for bursty epidemic events [PDF]

, 2011
Background: Online news reports are increasingly becoming a source for event based early warning systems that detect natural disasters. Harnessing the massive volume of information available from multilingual newswire presents as many challenges as ...
Collier, Nigel
core   +5 more sources

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Concept embedding-based weighting scheme for biomedical text clustering and visualization [PDF]

, 2018
Biomedical text clustering is a text mining technique used to provide better document search, browsing, and retrieval in biomedical and clinical text collections. In this research, the document representation based on the concept embedding along with the
Luo, Xiao, Shah, Setu
core   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

OGER++: hybrid multi-type entity recognition

Journal of Cheminformatics, 2019
Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer, Anna Jancso, Nicola Colic, Fabio Rinaldi   +3 more
doaj   +1 more source

Figure text extraction in biomedical literature. [PDF]

PLoS ONE, 2011
Figures are ubiquitous in biomedical full-text articles, and they represent important biomedical knowledge. However, the sheer volume of biomedical publications has made it necessary to develop computational approaches for accessing figures.
Daehyun Kim, Hong Yu
doaj   +1 more source