A hybrid and exploratory approach to knowledge discovery in metabolomic data

DOI10.1016/j.dam.2018.11.025zbMath1430.68265OpenAlexW2907344006MaRDI QIDQ2286393

Mélanie Pétéra, Amedeo Napoli, Blandine Comte, Dhouha Grissa, Estelle Pujos-Guillot

Publication date: 22 January 2020

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://hal.inria.fr/hal-02195463/file/grissa-etal-dam20.pdf

zbMATH Keywords

classificationvisualizationformal concept analysisinterpretationpattern miningdata and pattern explorationhybrid knowledge discoverymetabolomic data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Biochemistry, molecular biology (92C40)

Related Items (1)

Hyperbolic Hopfield neural networks for image classification in content-based image retrieval

Uses Software

• LatViz
• Hermes

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Exploratory knowledge discovery over web of data
• Hermes: a simple and efficient algorithm for building the AOC-poset of a binary relation
• Machine Learning
• 10.1162/153244303322753616
• Scalable Estimates of Concept Stability
• Inductive Logic Programming
• Random forests
• Gene selection for cancer classification using support vector machines

This page was built for publication: A hybrid and exploratory approach to knowledge discovery in metabolomic data