Results 21 to 30 of about 811,269 (302)

Evaluation of methylated DCR1 as a biomarker for response to adjuvant irinotecan-based therapy in stage III colon cancer: cancer and leukaemia Group B 89803 (Alliance)

Epigenetics, 2022
Aberrantly methylated genes contribute to the landscape of epigenetic alterations in colorectal adenocarcinoma. The global CpG Island methylator phenotype (CIMP) and individually methylated genes are potential prognostic/predictive biomarkers.
Lynn Symonds, Ming Yu, YuHong Zhang, Fang-Shu Ou, Tyler J. Zemla, Kelly Carter, Monica Bertagnolli, Federico Innocenti, Linda JW Bosch, Gerrit A Meijer, Beatriz Carvalho, William M. Grady, Stacey A. Cohen   +12 more
doaj   +1 more source

Applying the China’s marine resource-environment carrying capacity and spatial development suitability approach to the Bay of Biscay (North-East Atlantic)

Frontiers in Marine Science, 2022
The EMOD-PACE project, funded by the European Commission, aimed to promote international ocean governance between EU and China. One of the objectives of EMOD-PACE is to compare European and Chinese modelling approaches for ecosystem vulnerability ...
Angel Borja, Angel Borja, Sarai Pouso, Ibon Galparsoro, Eleonora Manca, Mickaël Vasquez, Wenhai Lu, Lu Yang, Ainhize Uriarte   +8 more
doaj   +1 more source

Incorporating RDA Outputs in the Design of a European Research Infrastructure for Natural Science Collections

Data Science Journal, 2020
To support future research based on natural sciences collection data, DiSSCo (Distributed System of Scientific Collections) – the European Research Infrastructure for Natural Science Collections – adopts Digital Object Architecture as the basis for its ...
Sharif Islam, Alex Hardisty, Wouter Addink, Claus Weiland, Falko Glöckler   +4 more
doaj   +1 more source

Bringing Citations and Usage Metrics Together to Make Data Count

Data Science Journal, 2019
Over the last years, many organizations have been working on infrastructure to facilitate sharing and reuse of research data. This means that researchers now have ways of making their data available, but not necessarily incentives to do so.
Helena Cousijn, Patricia Feeney, Daniella Lowenberg, Eleonora Presani, Natasha Simons   +4 more
doaj   +1 more source

Correction: ‘Developing a Research Data Policy Framework for All Journals and Publishers

Data Science Journal, 2020
This article details a correction to the article: Hrynaszkiewicz, I., Simons, N., Hussain, A., Grant, R. and Goudie, S., 2020. Developing a Research Data Policy Framework for All Journals and Publishers. 'Data Science Journal', 19(1), p. 5.
Iain Hrynaszkiewicz, Natasha Simons, Azhar Hussain, Rebecca Grant, Simon Goudie   +4 more
doaj   +1 more source

A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems

IEEE Access, 2022
Detecting faults and anomalies in real-time industrial systems is a challenge due to the difficulty of sufficiently covering an industrial system’s complexity.
David Velasquez, Enrique Perez, Xabier Oregui, Arkaitz Artetxe, Jorge Manteca, Jordi Escayola Mansilla, Mauricio Toro, Mikel Maiza, Basilio Sierra   +8 more
doaj   +1 more source

Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders

Applied Sciences, 2023
Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes.
Jokin Labaien Soto, Ekhi Zugasti Uriguen, Xabier De Carlos Garcia   +2 more
doaj   +1 more source

An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making

BMC Medical Informatics and Decision Making, 2021
Background The increasing prevalence of childhood obesity makes it essential to study the risk factors with a sample representative of the population covering more health topics for better preventive policies and interventions.
Xi Shi, Gorana Nikolic, Gorka Epelde, Mónica Arrúe, Joseba Bidaurrazaga Van-Dierdonck, Roberto Bilbao, Bart De Moor   +6 more
doaj   +1 more source

Data Type Registries: A Research Data Alliance Working Group

D-Lib Magazine, 2014
Automated processing of large amounts of scientific data, especially across domains, requires that the data can be selected and parsed without human intervention. Precise characterization of that data, as in typing, is needed once the processing goes beyond the realm of domain specific or local research group assumptions.
Broeder, D., Lannom, L.
openaire   +3 more sources

Proper Attribution for Curation and Maintenance of Research Collections: Metadata Recommendations of the RDA/TDWG Working Group

Data Science Journal, 2019
Research collections are an important tool for understanding the Earth, its systems, and human interaction. Despite the importance of collections, many are not maintained or curated as thoroughly as we would like.
Anne E. Thessen, Matt Woodburn, Dimitrios Koureas, Deborah Paul, Michael Conlon, David P. Shorthouse, Sarah Ramdeen   +6 more
doaj   +1 more source