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Updated: Feb 17, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

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scMix: 不規則な時間間隔下で遺伝子発現の時間動態を学習する.

Shangjin Han1, Dongsup Kim1

  • 1Department of Bio and Brain Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, 34141, Daejeon, South Korea.

Bioinformatics (Oxford, England)
|February 15, 2026
PubMed
まとめ

新しい言語モデルであるscMixは,不規則な時間間隔で単細胞の遺伝子発現を正確に予測します. このフレームワークは,時間モデリングを強化し,発達研究におけるエラーの蓄積を軽減します.

キーワード:
注意力メカニズム 注意力メカニズム細胞の微分化は単細胞の遺伝子発現はタイムシリーズモデリング

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