Search Results - "Wild, David J"

Assessing drug target association using semantic linked data by Chen, Bin, Ding, Ying, Wild, David J

“…The rapidly increasing amount of public data in chemistry and biology provides new opportunities for large-scale data mining for drug discovery. Systematic…”
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Netpredictor: R and Shiny package to perform drug-target network analysis and prediction of missing links by Seal, Abhik, Wild, David J

“…Netpredictor is an R package for prediction of missing links in any given unipartite or bipartite network. The package provides utilities to compute missing…”
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Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data by Chen, Bin, Dong, Xiao, Jiao, Dazhi, Wang, Huijun, Zhu, Qian, Ding, Ying, Wild, David J

“…Recently there has been an explosion of new data sources about genes, proteins, genetic variations, chemical compounds, diseases and drugs. Integration of…”
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Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination by Yang, Jeremy J, Gessner, Christopher R, Duerksen, Joel L, Biber, Daniel, Binder, Jessica L, Ozturk, Murat, Foote, Brian, McEntire, Robin, Stirling, Kyle, Ding, Ying, Wild, David J

“…LINCS, "Library of Integrated Network-based Cellular Signatures", and IDG, "Illuminating the Druggable Genome", are both NIH projects and consortia that have…”
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Finding complex biological relationships in recent PubMed articles using Bio-LDA by Wang, Huijun, Ding, Ying, Tang, Jie, Dong, Xiao, He, Bing, Qiu, Judy, Wild, David J

“…The overwhelming amount of available scholarly literature in the life sciences poses significant challenges to scientists wishing to keep up with important…”
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RepTB: a gene ontology based drug repurposing approach for tuberculosis by Passi, Anurag, Rajput, Neeraj Kumar, Wild, David J., Bhardwaj, Anshu

“…Tuberculosis (TB) is the world’s leading infectious killer with 1.8 million deaths in 2015 as reported by WHO. It is therefore imperative that alternate routes…”
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Discovering associations in biomedical datasets by link-based associative classifier (LAC) by Yu, Pulan, Wild, David J

“…Associative classification mining (ACM) can be used to provide predictive models with high accuracy as well as interpretability. However, traditional ACM…”
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PIBAS FedSPARQL: a web-based platform for integration and exploration of bioinformatics datasets by Djokic-Petrovic, Marija, Cvjetkovic, Vladimir, Yang, Jeremy, Zivanovic, Marko, Wild, David J

“…There are a huge variety of data sources relevant to chemical, biological and pharmacological research, but these data sources are highly siloed and cannot be…”
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Mining relational paths in integrated biomedical data by He, Bing, Tang, Jie, Ding, Ying, Wang, Huijun, Sun, Yuyin, Shin, Jae Hong, Chen, Bin, Moorthy, Ganesh, Qiu, Judy, Desai, Pankaj, Wild, David J

“…Much life science and biology research requires an understanding of complex relationships between biological entities (genes, compounds, pathways, diseases,…”
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Fast rule-based bioactivity prediction using associative classification mining by Yu, Pulan, Wild, David J

“…Relating chemical features to bioactivities is critical in molecular design and is used extensively in the lead discovery and optimization process. A variety…”
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Extraction of CYP Chemical Interactions from Biomedical Literature Using Natural Language Processing Methods by Jiao, Dazhi, Wild, David J

“…This paper proposes a system that automatically extracts CYP protein and chemical interactions from journal article abstracts, using natural language…”
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Improving integrative searching of systems chemical biology data using semantic annotation by Chen, Bin, Ding, Ying, Wild, David J

“…Background Systems chemical biology and chemogenomics are considered critical, integrative disciplines in modern biomedical research, but require data mining…”
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Semantic inference using chemogenomics data for drug discovery by Zhu, Qian, Sun, Yuyin, Challa, Sashikiran, Ding, Ying, Lajiness, Michael S, Wild, David J

“…Semantic Web Technology (SWT) makes it possible to integrate and search the large volume of life science datasets in the public domain, as demonstrated by…”
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WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications by Zhu, Qian, Lajiness, Michael S, Ding, Ying, Wild, David J

“…Background In recent years, there has been a huge increase in the amount of publicly-available and proprietary information pertinent to drug discovery…”
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Grand challenges for cheminformatics by Wild, David J

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In-silico predictive mutagenicity model generation using supervised learning approaches by Seal, Abhik, Passi, Anurag, Jaleel, UC Abdul, Wild, David J

“…Background Experimental screening of chemical compounds for biological activity is a time consuming and expensive practice. In silico predictive models permit…”
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Optimizing drug–target interaction prediction based on random walk on heterogeneous networks by Seal, Abhik, Ahn, Yong-Yeol, Wild, David J

“…Background Predicting novel drug–target associations is important not only for developing new drugs, but also for furthering biological knowledge by…”
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Optimizing Virtual Health Technologies Through a Performance-based Readiness Model: Lessons From the Field Deployment of National Emergency Tele-Critical Care Network by Hill, James J, Wild, David J, Schmidt, Patricia M

“…ABSTRACT Introduction The advancement of the Army’s National Emergency Tele-Critical Care Network (NETCCN) and planned evolution to an Intelligent Medical…”
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Userscripts for the life sciences by Willighagen, Egon L, O'Boyle, Noel M, Gopalakrishnan, Harini, Jiao, Dazhi, Guha, Rajarshi, Steinbeck, Christoph, Wild, David J

“…The web has seen an explosion of chemistry and biology related resources in the last 15 years: thousands of scientific journals, databases, wikis, blogs and…”
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TIGA: target illumination GWAS analytics by Yang, Jeremy J, Grissa, Dhouha, Lambert, Christophe G, Bologa, Cristian G, Mathias, Stephen L, Waller, Anna, Wild, David J, Jensen, Lars Juhl, Oprea, Tudor I

“…Abstract Motivation Genome-wide association studies can reveal important genotype–phenotype associations; however, data quality and interpretability issues…”
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