Results 11 to 20 of about 3,447,982 (286)
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 +4 more
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Malaria Journal, 2019 Background The disease burden of Plasmodium falciparum malaria illness is generally estimated using one of two distinct approaches: either by transforming P. falciparum infection prevalence estimates into incidence estimates using conversion formulae; or
Ursula Dalrymple +11 more
doaj +1 more source
Semantic Data Discovery from Social Big Data [PDF]
, 2021 Due to the large volume of data and information generated by a multitude of social data sources, it is a huge challenge to manage and extract useful knowledge, especially given the different forms of data, streaming data and uncertainty and ambiguity of data.
Abu-Salih, Bilal +4 more
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South African Medical Journal, 2023 Background. Since the onset of the COVID‑19 pandemic, healthcare resources have been repurposed to focus on COVID‑19. Resource reallocation and restrictions to movement that affected general access to care may have inadvertently resulted in undue ...
N Nematswerani +4 more
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Understanding the performance of knowledge graph embeddings in drug discovery
Artificial Intelligence in the Life Sciences, 2022 Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery and have the potential to assist in key challenges such as target identification. In the drug discovery domain,
Stephen Bonner +6 more
doaj +1 more source
Multiclass discovery in array data [PDF]
BMC Bioinformatics, 2004 A routine goal in the analysis of microarray data is to identify genes with expression levels that correlate with known classes of experiments. In a growing number of array data sets, it has been shown that there is an over-abundance of genes that discriminate between known classes as compared to expectations for random classes.
Liu Yingchun, Ringnér Markus
openaire +3 more sources
Metam: Goal-Oriented Data Discovery
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023 ICDE 2023 ...
Galhotra, Sainyam +2 more
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Sequencing data discovery with MetaSeek [PDF]
Bioinformatics, 2019 Sequencing data resources have increased exponentially in recent years, as has interest in large-scale meta-analyses of integrated next-generation sequencing datasets. However, curation of integrated datasets that match a user’s particular research priorities is currently a time-intensive and imprecise task. MetaSeek is a sequencing data discovery tool
Brown, C. Titus +3 more
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Discovery of Five New Pulsars in Archival Data [PDF]
, 2012 Reprocessing of the Parkes Multibeam Pulsar Survey has resulted in the discovery of five previously unknown pulsars and several as-yet-unconfirmed candidates. PSR J0922-52 has a period of 9.68 ms and a DM of 122.4 pc cm^-3. PSR J1147-66 has a period of 3.
A. Collins +15 more
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Inductive queries for a drug designing robot scientist [PDF]
, 2010 It is increasingly clear that machine learning algorithms need to be integrated in an iterative scientific discovery loop, in which data is queried repeatedly by means of inductive queries and where the computer provides guidance to the experiments that ...
A. Lingas +10 more
core +1 more source