Anthony Etuk

ORCID: 0000-0001-8320-660X
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About
Contact & Profiles
Research Areas
  • Research Data Management Practices
  • Scientific Computing and Data Management
  • Mobile Crowdsensing and Crowdsourcing
  • Privacy-Preserving Technologies in Data
  • Biomedical Text Mining and Ontologies
  • Access Control and Trust
  • Microbial Metabolic Engineering and Bioproduction
  • Data Stream Mining Techniques
  • Spam and Phishing Detection
  • Semantic Web and Ontologies
  • Wastewater Treatment and Nitrogen Removal
  • Misinformation and Its Impacts
  • Bioinformatics and Genomic Networks
  • Cryptography and Data Security
  • scientometrics and bibliometrics research
  • Topic Modeling
  • Single-cell and spatial transcriptomics
  • Logic, Reasoning, and Knowledge
  • Microbial Fuel Cells and Bioremediation

Norwich Research Park
2019-2021

Earlham Institute
2019-2021

University of Aberdeen
2013-2016

<ns4:p>Scientific innovation is increasingly reliant on data and computational resources. Much of today’s life science research involves generating, processing, reusing heterogeneous datasets that are growing exponentially in size. Demand for technical experts (data scientists bioinformaticians) to process these at an all-time high, but not typically trained good management practices. That said, we have come a long way the last decade, with funders, publishers, researchers themselves making...

10.12688/f1000research.23889.1 preprint EN cc-by F1000Research 2020-06-02

The Investigation/Study/Assay (ISA) Metadata Framework is an established and widely used set of open source community specifications software tools for enabling discovery, exchange, publication metadata from experiments in the life sciences. original ISA suite provided a user-facing Java creating manipulating information structured ISA-Tab-a now tabular format. To make framework more accessible to machines enable programmatic manipulation experiment metadata, JSON serialization ISA-JSON was...

10.1093/gigascience/giab060 article EN cc-by GigaScience 2021-09-01

The aim of intelligence analysis is to make sense information that often conflicting or incomplete, and weigh competing hypotheses may explain a situation. This imposes high cognitive load on analysts, there are few automated tools aid them in their task. In this paper, we present an agent-based tool help analysts acquiring, evaluating interpreting collaboration with others. Agents assist reasoning different types evidence identify what happened why, credible, how obtain further evidence....

10.5555/2772879.2773254 article EN 2015-05-04

Pervasive information consumers in open, loosely-coupled systems, such as Internet of Things and crowd-sensing environment, will rely more often on streaming from sensory sources with whom they have only ephemeral, transient relationships. In settings, uncertainties arise the trustworthiness their become questionable. It is thus necessary to quantify quality inferences made aid informed effective decision making action taking. One aspects trust assessment systems provide for metrics,...

10.1109/percomw.2013.6529544 article EN 2013-03-01

10.1007/s10458-016-9337-5 article EN Autonomous Agents and Multi-Agent Systems 2016-05-25

We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. exploit diversity among to stratify the population into homogeneous subgroups both minimise redundant and mitigate effect of collusion. show through empirical evaluation that our model as effective existing truth discovery approaches with respect accuracy, while significantly reducing cost.

10.5555/2772879.2773447 article EN Adaptive Agents and Multi-Agents Systems 2015-05-04

Abstract Scientific innovation is increasingly reliant on data and computational resources. Much of today’s life science research involves generating, processing, reusing heterogeneous datasets that are growing exponentially in size. Demand for technical experts (data scientists bioinformaticians) to process these at an all-time high, but not typically trained good management practices. That said, we have come a long way the last decade, with funders, publishers, researchers themselves...

10.1101/782771 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-09-26

10.7490/f1000research.1113753.1 article EN F1000Research 2017-03-15

Abstract Background The Investigation/Study/Assay (ISA) Metadata Framework is an established and widely used set of open-source community specifications software tools for enabling discovery, exchange publication metadata from experiments in the life sciences. original ISA suite provided a user-facing Java creating manipulating information structured ISA-Tab – now tabular format. To make framework more accessible to machines enable programmatic manipulation experiment metadata, JSON...

10.1101/2020.11.13.382119 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-11-16
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