PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters

We present PrePeP, a light-weight tool for predicting whether molecules are frequent hitters, and visually inspecting the subgraphs supporting this decision. PrePeP is contains three modules: a mining component, an encoding/predicting component, and a graphical interface, all of which are easily ext...

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Bibliographic Details
Published inMachine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track Vol. 12461; pp. 570 - 573
Main Authors Couronne, Christophe, Koptelov, Maksim, Zimmermann, Albrecht
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesLecture Notes in Computer Science
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Summary:We present PrePeP, a light-weight tool for predicting whether molecules are frequent hitters, and visually inspecting the subgraphs supporting this decision. PrePeP is contains three modules: a mining component, an encoding/predicting component, and a graphical interface, all of which are easily extensible.
Bibliography:The tool can be downloaded at http://scientific-data-mining.org, “Software”.
ISBN:9783030676698
3030676692
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-67670-4_41