Results 11 to 20 of about 43,162 (235)

MACHOS: Markov clusters of homologous subsequences [PDF]

Bioinformatics, 2008
Abstract Motivation: The classification of proteins into homologous groups (families) allows their structure and function to be analysed and compared in an evolutionary context. The modular nature of eukaryotic proteins presents a considerable challenge to the delineation of families, as different local regions within a single protein ...
Wong, Simon, Ragan, Mark A.
openaire   +3 more sources

A weighted Markov-clustering routing protocol for optimizing energy use in wireless sensor networks

Egyptian Informatics Journal, 2022
Interest has increased in wireless sensor networks (WSNs) in fields such as healthcare, industrial control and environmental monitoring. More recently, WSNs have been widely deployed in Internet of Things (IoT) based applications.
Leila Abbad, Azzedine Nacer, Houda Abbad, Mohammed Taieb Brahim, Nadjet Zioui   +4 more
doaj   +1 more source

Markov properties of cluster processes [PDF]

Advances in Applied Probability, 1996
We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the clusters have uniformly bounded diameter. It is typically not a finite-range Markov point process in the sense of Ripley and Kelly [12]. Furthermore, when the parent Poisson process is replaced by a Markov or nearest-neighbour Markov point process, the ...
Baddeley, A. J., Lieshout, M. N. M. van, Møller, Jesper   +2 more
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Quantitative logging data clustering with hidden Markov model to assist log unit classification

Earth, Planets and Space, 2022
Revealing subsurface structures is a fundamental task in geophysical and geological studies. Logging data are usually acquired through drilling projects, which constrain the subsurface structure, and together with the description of drill core samples ...
Suguru Yabe, Yohei Hamada, Rina Fukuchi, Shunichi Nomura, Norio Shigematsu, Tsutomu Kiguchi, Kenta Ueki   +6 more
doaj   +1 more source

A Generic Clustering-Based Algorithm for Approximating IOHMM Topology and Parameters

IEEE Access, 2021
In this paper, a novel generic clustering-based algorithm for approximating the topology and the parameters of discrete state space Input/Output Hidden Markov Models (IOHMMs) with continuous observation spaces is introduced. The algorithm can accommodate
Gerald Rocher, Jean-Yves Tigli, Stephane Lavirotte   +2 more
doaj   +1 more source

Application and Research of Markov Model in Network Traffic Classification [PDF]

Jisuanji gongcheng, 2018
With the development of information science and technology,the traditional port number and depth packet detection classification technology can not meet the classification requirements of various applications in the network,and can not be classified ...
ZHAO Ying,HAN Chunhao
doaj   +1 more source

BAND SELECTION OF HYPERSPECTRAL IMAGES BASED ON MARKOV CLUSTERING AND SPECTRAL DIFFERENCE MEASUREMENT FOR OBJECT EXTRACTION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
For the existing hyperspectral image (HSI) band selection (BS) algorithm does not consider the strong correlation between adjacent bands and does not meet the high-precision extraction of single target, a HSI BS algorithm based on Markov clustering and ...
T. Zhang, T. Zhang, P. Li, P. Li, P. Li, Y. Ding, Y. Ding, D. Luo, D. Luo, Z. Ma, Z. Ma, X. Li, X. Li, L. Wen, L. Wen   +14 more
doaj   +1 more source

A hybrid clustering approach to recognition of protein families in 114 microbial genomes

BMC Bioinformatics, 2004
Background Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function).
Gogarten J Peter, Harlow Timothy J, Ragan Mark A   +2 more
doaj   +1 more source

Protein Clustering in Formation of Falciparum Plasmodium using Soft Regularized-Markov Clustering Algorithm

InPrime, 2019
Protein has an important role in our life. Every protein interacts with other proteins, DNA, and other molecules. It forms a very large protein interaction networks. We need clustering method to analyze it.
Hafizh Amrullah, Syamsuddin Wisnubroto
doaj   +1 more source

Markov Chains and Spectral Clustering [PDF]

, 2011
The importance of Markov chains in modeling diverse systems, including biological, physical, social and economic systems, has long been known and is well documented. More recently, Markov chains have proven to be effective when applied to internet search engines such as Google’s PageRank model [7], and in data mining applications wherein data trends ...
Liu, Ning, Stewart, William
openaire   +1 more source