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Updated: Feb 14, 2026

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq
06:22

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Published on: August 25, 2020

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scMSDA: シングル・セル RNA-seq データ・クラスタリングのための新しいマルチ・ビュー・フュージョン・フレームワークで,セマンティックとディストリビューション・アライナメントを備えています

Congcong Jiang1, Wenlan Chen2, Yanyan Tan1

  • 1School of Information Science and Engineering, Shandong Normal University, Jinan, 250358, China.

Interdisciplinary sciences, computational life sciences
|February 13, 2026
PubMed
まとめ

scMSDAは,単細胞RNAシーケンシング (scRNA-seq) データクラスタリングのための新しいマルチビューフレームワークです. センマティックの一貫性と分布の並べ替えを活用して分析を改善し,堅牢な細胞表現を実現します.

キーワード:
対照的な学習を学習する.分配配列の並べ替えについてマルチビュー・フュージョン マルチビュー・フュージョンScRNA-seqqが使用されています.セマンティック構造の一貫性

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