SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification

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Titel: SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification
Autoren: Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li
Quelle: Lecture Notes in Computer Science ISBN: 9789819756889
Verlagsinformationen: Springer Nature Singapore, 2024.
Publikationsjahr: 2024
Publikationsart: Part of book or chapter of book
Sprache: English
DOI: 10.1007/978-981-97-5689-6_12
Rights: Springer Nature TDM
Dokumentencode: edsair.doi...........365daa4b43a8497cfd4c0a1b63c2db91
Datenbank: OpenAIRE
Beschreibung
DOI:10.1007/978-981-97-5689-6_12