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ICES: Data, Discovery, Better Health. [PDF]

Int J Popul Data Sci, 2020
ICES was founded in 1992 to study the health care system and promote effective, efficient and equitable health care. Over 27 years later, the goal remains largely unchanged, though the institute has grown in size and impact. Created as an independent not-for-profit research institute and given what was, at the time, unprecedented access to ...
Schull MJ, Azimaee M, Marra M, Cartagena RG, Vermeulen MJ, Ho M, Guttmann A.   +6 more
europepmc   +6 more sources

Implementing a Registry Federation for Materials Science Data Discovery [PDF]

Data Science Journal, 2021
As a result of a number of national initiatives, we are seeing rapid growth in the data important to materials science that are available over the web. Consequently, it is becoming increasingly difficult for researchers to learn what data are available ...
Raymond L. Plante, Chandler A. Becker, Andrea Medina-Smith, Kevin Brady, Alden Dima, Benjamin Long, Laura M. Bartolo, James A. Warren, Robert J. Hanisch   +8 more
doaj   +3 more sources

Radiomics for characterization of the glioma immune microenvironment

npj Precision Oncology, 2023
Increasing evidence suggests that besides mutational and molecular alterations, the immune component of the tumor microenvironment also substantially impacts tumor behavior and complicates treatment response, particularly to immunotherapies. Although the
Nastaran Khalili, Anahita Fathi Kazerooni, Ariana Familiar, Debanjan Haldar, Adam Kraya, Jessica Foster, Mateusz Koptyra, Phillip B. Storm, Adam C. Resnick, Ali Nabavizadeh   +9 more
doaj   +1 more source

Thinking process templates for constructing data stories with SCDNEY [version 2; peer review: 2 approved]

F1000Research, 2023
Background Globally, scientists now have the ability to generate a vast amount of high throughput biomedical data that carry critical information for important clinical and public health applications.
Marni Torkel, Pengyi Yang, Shila Ghazanfar, Nick Robertson, Yingxin Lin, Andy Tran, Hani Kim, Yue Cao, Ellis Patrick, Jean Yang   +9 more
doaj   +1 more source

Data Curation through Catalogs: A Repository-Independent Model for Data Discovery

Journal of eScience Librarianship, 2021
Institutional data repositories are the acknowledged gold standard for data curation platforms in academic libraries. But not every institution can sustain a repository, and not every dataset can be archived due to legal, ethical, or authorial ...
Helenmary Sheridan, Anthony J. Dellureficio, Melissa A. Ratajeski, Sara Mannheimer, Terrie R. Wheeler   +4 more
doaj   +1 more source

Dataset Search: A lightweight, community-built tool to support research data discovery

Journal of eScience Librarianship, 2021
Objective: Promoting discovery of research data helps archived data realize its potential to advance knowledge. Montana State University (MSU) Dataset Search aims to support discovery and reporting for research datasets created by researchers at ...
Sara Mannheimer, Jason A. Clark, Kyle Hagerman, Jakob Schultz, James Espeland   +4 more
doaj   +1 more source

An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
With the booming of high-resolution Earth observation and open-data efforts, petabyte-scale Earth observation data have been available for free access. Due to the unprecedented availability of big data deluge, regional to global spatio-temporal analysis ...
Jie Song, Yan Ma, Zhixin Zhang, Peng Liu
doaj   +1 more source

annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions

BMC Bioinformatics, 2020
Background Gene fusion events are significant sources of somatic variation across adult and pediatric cancers and are some of the most clinically-effective therapeutic targets, yet low consensus of RNA-Seq fusion prediction algorithms makes therapeutic ...
Krutika S. Gaonkar, Federico Marini, Komal S. Rathi, Payal Jain, Yuankun Zhu, Nicholas A. Chimicles, Miguel A. Brown, Ammar S. Naqvi, Bo Zhang, Phillip B. Storm, John M. Maris, Pichai Raman, Adam C. Resnick, Konstantin Strauch, Jaclyn N. Taroni, Jo Lynne Rokita   +15 more
doaj   +1 more source

What are Researchers’ Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases

Data Science Journal, 2023
Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users’ wishes.
Brigitte Mathiak, Nick Juty, Alessia Bardi, Julien Colomb, Peter Kraker   +4 more
doaj   +1 more source

Industry-scale application and evaluation of deep learning for drug target prediction

Journal of Cheminformatics, 2020
Artificial intelligence (AI) is undergoing a revolution thanks to the breakthroughs of machine learning algorithms in computer vision, speech recognition, natural language processing and generative modelling.
Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir Chupakhin, Hugo Ceulemans, Joerg Wegner, Jose-Felipe Golib-Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen   +18 more
doaj   +1 more source