Comparison of two inference approaches in Gaussian graphical models


PURUTÇUOĞLU GAZİ V. , AYYILDIZ DEMİRCİ E. , Wit E.

TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI, cilt.42, ss.203-211, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 42 Konu: 2
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1515/tjb-2016-0298
  • Dergi Adı: TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI
  • Sayfa Sayıları: ss.203-211

Özet

Introduction: The Gaussian Graphical Model (GGM) is one of the well-known probabilistic models which is based on the conditional independency of nodes in the biological system. Here, we compare the estimates of the GGM parameters by the graphical lasso (glasso) method and the threshold gradient descent (TGD) algorithm.