An approach to estimating protein networks of cell cycle based on least-squares methods for periodic signals

Takehito Azuma, Mayumi Ito, Shuichi Adachi

研究成果: Conference contribution

抄録

This paper considers a least-squares method for state space models by using periodic signals and two theoretical properties of the least-squares method are shown. Moreover the least-squares method considered in this paper is applied to an estimation problem of protein networks for cell cycle in budding yeast. The derived properties of the least-squares method are verified in the estimation problem and the approach to estimate protein networks for cell cycle is demonstrated. Finally two mathematical models are derived based on the estimated protein network.

本文言語English
ホスト出版物のタイトル2011 5th International Conference on Sensing Technology, ICST 2011
ページ458-463
ページ数6
DOI
出版ステータスPublished - 2011 12月 1
イベント2011 5th International Conference on Sensing Technology, ICST 2011 - Palmerston North, New Zealand
継続期間: 2011 11月 282011 12月 1

出版物シリーズ

名前Proceedings of the International Conference on Sensing Technology, ICST
ISSN(印刷版)2156-8065
ISSN(電子版)2156-8073

Other

Other2011 5th International Conference on Sensing Technology, ICST 2011
国/地域New Zealand
CityPalmerston North
Period11/11/2811/12/1

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 信号処理
  • 電子工学および電気工学

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