SEEK-VEC:通过整体主题建模发现强大的潜在结构

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Updated: Jan 8, 2026

Decoding Natural Behavior from Neuroethological Embedding
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Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

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Rebecca Danning1, Zheng Tracy Ke2, Rong Ma1

  • 1Department of Biostatistics, Harvard T.H. Chan School of Public Health.

bioRxiv : the preprint server for biology
|December 22, 2025
PubMed
概括

SEEK-VEC是一个新的整体框架,通过整合多个模型来揭示隐藏的模式,增强了计数数据的主题建模. 这种方法可稳定地识别潜在结构,优于现有技术,特别是在弱信号的情况下.

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