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...
সংরক্ষণ করুন:
| প্রধান লেখক: | , , , , |
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| বিন্যাস: | Artigo |
| ভাষা: | Inglês |
| প্রকাশিত: |
Frontiers Media S.A.
2021-08-01
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| মালা: | Frontiers in Genetics |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://www.frontiersin.org/articles/10.3389/fgene.2021.733906/full |
| ট্যাগগুলো: |
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