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9 result(s) for 'author#QuanQiu Wang' within BMC

1. dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

   Discerning the genetic contributions to complex human diseases is a challenging mandate that demands new types of data and calls for new avenues for advancing the state-of-the-art in computational approaches t...

   Authors: Rong Xu, Li Li and QuanQiu Wang

   Citation: BMC Bioinformatics 2014 15:105

   Content type: Research article Published on: 12 April 2014

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2. Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature

   Systems approaches to studying drug-side-effect (drug-SE) associations are emerging as an active research area for both drug target discovery and drug repositioning. However, a comprehensive drug-SE associatio...

   Authors: Rong Xu and QuanQiu Wang

   Citation: BMC Bioinformatics 2015 16(Suppl 5):S6

   Content type: Proceedings Published on: 18 March 2015

   This article is part of a Supplement: Volume 16 Supplement 5

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3. Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

   Alzheimer’s disease (AD) is complex, with genetic, epigenetic, and environmental factors contributing to disease susceptibility and progression. While significant progress has been made in understanding geneti...

   Authors: Rong Xu and QuanQiu Wang

   Citation: BMC Systems Biology 2016 10(Suppl 3):63

   Content type: Research Published on: 26 August 2016

   This article is part of a Supplement: Volume 10 Supplement 3

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4. A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

   Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation and destruction of synovial joints. RA affects up to 1 % of the population worldwide. Currently, there are no drugs that ...

   Authors: Rong Xu and QuanQiu Wang

   Citation: BMC Genomics 2016 17(Suppl 7):518

   Content type: Research Published on: 22 August 2016

   This article is part of a Supplement: Volume 17 Supplement 7

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5. A genome-wide systems analysis reveals strong link between colorectal cancer and trimethylamine N-oxide (TMAO), a gut microbial metabolite of dietary meat and fat

   Dietary intakes of red meat and fat are established risk factors for both colorectal cancer (CRC) and cardiovascular disease (CVDs). Recent studies have shown a mechanistic link between TMAO, an intestinal mic...

   Authors: Rong Xu, QuanQiu Wang and Li Li

   Citation: BMC Genomics 2015 16(Suppl 7):S4

   Content type: Research Published on: 11 June 2015

   This article is part of a Supplement: Volume 16 Supplement 7

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6. Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing

   A large-scale, highly accurate, machine-understandable drug-disease treatment relationship knowledge base is important for computational approaches to drug repurposing. The large body of published biomedical r...

   Authors: Rong Xu and QuanQiu Wang

   Citation: BMC Bioinformatics 2013 14:181

   Content type: Research article Published on: 6 June 2013

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7. Gut–microbiota–microglia–brain interactions in Alzheimer’s disease: knowledge-based, multi-dimensional characterization

   Interactions between the gut microbiota, microglia, and aging may modulate Alzheimer’s disease (AD) pathogenesis but the precise nature of such interactions is not known.

   Authors: QuanQiu Wang, Pamela B. Davis, Xin Qi, Shu G. Chen, Mark E. Gurney, George Perry, P. Murali Doraiswamy and Rong Xu

   Citation: Alzheimer's Research & Therapy 2021 13:177

   Content type: Research Published on: 20 October 2021

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8. Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

   Independent data sources can be used to augment post-marketing drug safety signal detection. The vast amount of publicly available biomedical literature contains rich side effect information for drugs at all c...

   Authors: Rong Xu and QuanQiu Wang

   Citation: BMC Bioinformatics 2014 15:17

   Content type: Research article Published on: 15 January 2014

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9. Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

   Rheumatoid arthritis (RA) is the most common autoimmune disease and affects about 1% of the population. The cause of RA remains largely unknown and could result from a complex interaction between genes and env...

   Authors: QuanQiu Wang and Rong Xu

   Citation: BMC Genomics 2019 20:124

   Content type: Research article Published on: 11 February 2019

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