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What is Markov Assumption

Chapter 29
Handbook of Research on Systems Biology Applications in Medicine
The conditional probability distribution of the current state is independent of all non-parents. It means for a dynamical system that given the present state, all following states are independent of all past states.
Published in Chapter:
Methods for Reverse Engineering of Gene Regulatory Networks
Hendrik Hache (Max Planck Institute for Molecular Genetics, Germany)
Copyright: © 2009 |Pages: 19
DOI: 10.4018/978-1-60566-076-9.ch029
Abstract
In this chapter, different methods and applications for reverse engineering of gene regulatory networks that have been developed in recent years are discussed and compared. Inferring gene networks from different kinds of experimental data are a challenging task that emerged, especially with the development of high throughput technologies. Various computational methods based on diverse principles were introduced to identify new regulations among genes. Mathematical aspects of the models are highlighted, and applications for reverse engineering are mentioned.
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Chapter 8
Develop a Neural Model to Score Bigram of Words Using Bag-of-Words Model for Sentiment Analysis
Markov assumption calculates the probability of a word depends only on the probability of a limited history.
Published in Chapter: Develop a Neural Model to Score Bigram of Words Using Bag-of-Words Model for Sentiment Analysis; From: Neural Networks for Natural Language Processing
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