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Feb 6, 2024 · CellGiQ provides an open-source and useful tool to decompose LRI-mediated intercellular communication at single cell resolution.
Feb 6, 2024 · A computational framework called CellGiQ is proposed to identify highly confident LRI based on an ensemble of gradient boosted neural network and interpretable ...
Aug 16, 2024 · In this study, we propose an LRI-mediated CCC inference method called CellAL. CellAL mainly consists of two procedures: LRI prediction by feature extraction via ...
1 day ago · In this study, we propose a novel method, MRDPDA, for predicting PDAs based on limited data from multiple sources. Specifically, MRDPDA integrates a deep ...
Feb 29, 2024 · An intercellular communication inference method includes two main procedures: ligand-receptor interaction (LRI) curation and LRI-mediated intercellular ...
Jan 6, 2024 · This review offers an in-depth exploration of the principles underlying attention-based models and their advantages in drug discovery.
Missing: intercellular | Show results with:intercellular
Dec 20, 2023 · We introduce LDA-VGHB, an lncRNA–disease association (LDA) identification framework, by incorporating feature extraction based on singular value decomposition ...
Mar 1, 2024 · We developed LDA-SABC, a novel boosting-based framework for lncRNA–disease association (LDA) prediction.
Jul 5, 2024 · Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication ...
Feb 19, 2024 · ML can determine gene expression by optimizing the biological modules involved in translation and transcription, in addition to promoters and RBS sequences.
Missing: intercellular | Show results with:intercellular