The key to LIFT is to achieve clustering by putting an original dataset on lattices using the data analysis technique of Formal Concept Analysis (FCA), followed ...
(Ligand FInding via Formal ConcepT Analysis) for multi-label classification, which can treat ligand data in databases in a semi-supervised manner. The key ...
The key to LIFT is to achieve clustering by putting an original dataset on lattices using the data analysis technique of Formal Concept Analysis (FCA), followed ...
To date, enormous studies have been devoted to investigate biochemical func- tions of receptors, which have crucial roles for signal processing in organisms ...
Semi-Supervised Ligand Finding Using Formal Concept Analysis ; 巻: 7 ; 号: 3 ; 開始ページ: 928 ; 終了ページ: 937 ; 記述言語: 英語 ...
Ligands are key tools in experiments since receptor specificity with respect to them enables us to control activity of receptors. However, finding ligands is ...
Discovering Ligands for TRP Ion Channels Using Formal Concept ...
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Abstract: In this chapter, we propose an inductive approach to find candidates of ligands for transient receptor potential (TRP) ion channels from databases ...
Semi-supervised learning is a machine learning paradigm that can be applied to create pseudo labels from unlabeled data for learning a ranking model, when there ...
Research paper thumbnail of Formal Concept Analysis for Process Enhancement Based on a Pair of Perspectives · Research paper thumbnail of Semi-Supervised Ligand ...
Abstract. In this paper, we propose an inductive approach to find candidates of ligands for TRP ion channels from databases, which play crucial roles for ...