Results 21 to 30 of about 28,374,038 (313)
Learning partial differential equations via data discovery and sparse optimization. [PDF]
Proc Math Phys Eng Sci, 2017 Schaeffer H.
europepmc +2 more sources
User needs analysis and usability assessment of DataMed - a biomedical data discovery index. [PDF]
J Am Med Inform Assoc, 2018 Objective To present user needs and usability evaluations of DataMed, a Data Discovery Index (DDI) that allows searching for biomedical data from multiple sources. Materials and Methods We conducted 2 phases of user studies.
Dixit R +7 more
europepmc +2 more sources
Fostering population-based cohort data discovery: The Maelstrom Research cataloguing toolkit. [PDF]
PLoS One, 2018 Background The lack of accessible and structured documentation creates major barriers for investigators interested in understanding, properly interpreting and analyzing cohort data and biological samples.
Bergeron J +4 more
europepmc +2 more sources
Data Driven Discovery in Astrophysics [PDF]
, 2014 We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data rates, and an ever ...
Brescia, M. +4 more
core +2 more sources
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
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
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
openaire +2 more sources
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
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