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From the course by Пекинский университет
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
93 ratings
Пекинский университет
93 ratings
From the lesson
Markov Model
Upon completion of this module, you will be able to: recognize state transitions, Markov chain and Markov models; create a hidden Markov model by yourself; make predictuions in a real biological problem with hidden Markov model.

Meet the Instructors

  • Ge Gao 高歌, Ph.D.
    Ge Gao 高歌, Ph.D.
    Assistant Professor, Principle Investigator
    Center for Bioinformatics, School of Life Science
  • Liping Wei 魏丽萍, Ph.D.
    Liping Wei 魏丽萍, Ph.D.
    Professor, Director
    Center for Bioinformatics, School of Life Sciences