Interoperable and scalable data analysis with microservices: applications in metabolomics.
Payam Emami KhoonsariPablo MorenoSven BergmannJoachim BurmanMarco CapucciniMatteo CaroneMarta CascantePedro de AtauriCarles FoguetAlejandra N. González-BeltránThomas HankemeierKenneth HaugSijin HeStephanie HermanDavid JohnsonNamrata KaleAnders LarssonSteffen NeumannKristian PetersLuca PiredduPhilippe Rocca-SerraPierrick RogerRico RueediChristoph RuttkiesNoureddin SadawiReza M. SalekSusanna-Assunta SansoneDaniel SchoberVitaly A. SelivanovEtienne A. ThévenotMichael van VlietGianluigi ZanettiChristoph SteinbeckKim KultimaOla SpjuthPublished in: Bioinform. (2019)
Keyphrases
- data analysis
- digital libraries
- identify potential
- data collection
- rough set theory
- web services
- data processing
- data mining
- data visualization
- lightweight
- rough sets
- knowledge discovery
- metadata
- website
- artificial intelligence
- machine learning
- highly scalable
- memory efficient
- business intelligence
- high dimensional data
- data exploration
- data sets
- data pre processing
- multi aspect