क्यूआर कोड

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder

Dimensionality reduction of high-dimensional data is crucial for single-cell RNA sequencing (scRNA-seq) visualization and clustering. One prominent challenge in scRNA-seq studies comes from the dropout events, which lead to zero-inflated data. To address this issue, in this paper, we propose a scRNA...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Jianping Zhao, Na Wang, Haiyun Wang, Chunhou Zheng, Yansen Su
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Frontiers Media S.A. 2021-08-01
श्रृंखला:Frontiers in Genetics
विषय:
scRNA-seq
dimensionality reduction
graph autoencoder
graph attention networks
noise reduction
ऑनलाइन पहुंच:https://www.frontiersin.org/articles/10.3389/fgene.2021.733906/full
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