Volume 18 Supplement 7

Proceedings of the Tenth International Workshop on Data and Text Mining in Biomedical Informatics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Indianapolis, IN, USA24-28 October 2016

Conference website

Edited by Min Song, Jake Y. Chen, Vincenzo Cutello and Sangwoo Kim

TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network

Transcription factor (TF) networks play a key role in controlling the transfer of genetic information from gene to mRNA. Much progress has been made on understanding and reverse-engineering TF network topologi...

Authors: Namshik Han, Harry A. Noyes and Andy Brass

Citation: BMC Bioinformatics 2017 18(Suppl 7):260

Content type: Research Published on: 31 May 2017
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Drug repositioning for enzyme modulator based on human metabolite-likeness

Recently, the metabolite-likeness of the drug space has emerged and has opened a new possibility for exploring human metabolite-like candidates in drug discovery. However, the applicability of metabolite-liken...

Authors: Yoon Hyeok Lee, Hojae Choi, Seongyong Park, Boah Lee and Gwan-Su Yi

Citation: BMC Bioinformatics 2017 18(Suppl 7):226

Content type: Research Published on: 31 May 2017
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Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

Drug-induced liver injury (DILI) is a critical issue in drug development because DILI causes failures in clinical trials and the withdrawal of approved drugs from the market. There have been many attempts to p...

Authors: Eunyoung Kim and Hojung Nam

Citation: BMC Bioinformatics 2017 18(Suppl 7):227

Content type: Research Published on: 31 May 2017
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In silico re-identification of properties of drug target proteins

Computational approaches in the identification of drug targets are expected to reduce time and effort in drug development. Advances in genomics and proteomics provide the opportunity to uncover properties of d...

Authors: Baeksoo Kim, Jihoon Jo, Jonghyun Han, Chungoo Park and Hyunju Lee

Citation: BMC Bioinformatics 2017 18(Suppl 7):248

Content type: Research Published on: 31 May 2017
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Analyzing the field of bioinformatics with the multi-faceted topic modeling technique

Bioinformatics is an interdisciplinary field at the intersection of molecular biology and computing technology. To characterize the field as convergent domain, researchers have used bibliometrics, augmented wi...

Authors: Go Eun Heo, Keun Young Kang, Min Song and Jeong-Hoon Lee

Citation: BMC Bioinformatics 2017 18(Suppl 7):251

Content type: Research Published on: 31 May 2017
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Quantifying and filtering knowledge generated by literature based discovery

Literature based discovery (LBD) automatically infers missed connections between concepts in literature. It is often assumed that LBD generates more information than can be reasonably examined.

Authors: Judita Preiss and Mark Stevenson

Citation: BMC Bioinformatics 2017 18(Suppl 7):249

Content type: Research Published on: 31 May 2017
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Contextualization of drug-mediator relations using evidence networks

Genomic analysis of drug response can provide unique insights into therapies that can be used to match the “right drug to the right patient.” However, the process of discovering such therapeutic insights using...

Authors: Hai Joey Tran, Gil Speyer, Jeff Kiefer and Seungchan Kim

Citation: BMC Bioinformatics 2017 18(Suppl 7):252

Content type: Research Published on: 31 May 2017
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Coupling effects on turning points of infectious diseases epidemics in scale-free networks

Pandemic is a typical spreading phenomenon that can be observed in the human society and is dependent on the structure of the social network. The Susceptible-Infective-Recovered (SIR) model describes spreading...

Authors: Kiseong Kim, Sangyeon Lee, Doheon Lee and Kwang Hyung Lee

Citation: BMC Bioinformatics 2017 18(Suppl 7):250

Content type: Research Published on: 31 May 2017
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Proceedings of the Tenth International Workshop on Data and Text Mining in Biomedical Informatics

Research

TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network

Drug repositioning for enzyme modulator based on human metabolite-likeness

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

In silico re-identification of properties of drug target proteins

Analyzing the field of bioinformatics with the multi-faceted topic modeling technique

Quantifying and filtering knowledge generated by literature based discovery

Contextualization of drug-mediator relations using evidence networks

Coupling effects on turning points of infectious diseases epidemics in scale-free networks

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