CeLLTra: パスウェイ情報を利用したトランスフォーマーによる細胞名と遺伝子発現のアライメント
Zhao Li1, Zaiyi Zheng2, Rongbin Li1
1Department of Bioinformatics & Systems Medicine, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, United States.
CeLLTraは、コントラスティブ学習とパスウェイ情報を用いた新しいフレームワークであり、単一細胞RNAシーケンシング(scRNA-Seq)データからの細胞タイプアノテーションを改善します。細胞タイプの予測とがん細胞の特性評価において既存の方法を上回っています。
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