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Updated: Feb 13, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

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テリタシセプトは,マイアステニア・グラビスにおける有効性の高い確率を示しています:ベイジアンによる現実世界の研究

Xinyi Duan1,2, Haibing Xiao1,2,3

  • 1Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.

Frontiers in neurology
|February 12, 2026
PubMed
まとめ

二重のBAFF/APRIL阻害剤であるテリタシセプトは,一般化マイアステニア・グラビス (MG) 患者で有意な有効性とステロイドを節約する効果を示した. この実用的な研究は,その使用を支持し,良好な耐受性と症状の改善を示しています.

キーワード:
ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,ベイジアン分析 (Bayesian analysis) とは,効果と安全性についてミアステニア・グラヴィス症候群現実世界での研究です.テリタシセプトとは

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