Suchergebnisse - "Markov clustering algorithm"

Fast Markov Clustering Algorithm Based on Belief Dynamics von Li, Huijia, Xu, Wenzhe, Qiu, Chenyang, Pei, Jian

“… To detect the cluster configuration accurately and efficiently, we propose a new Markov clustering algorithm based on the limit state of the belief dynamics model …”
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HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks von Azad, Ariful, Pavlopoulos, Georgios A, Ouzounis, Christos A, Kyrpides, Nikos C, Buluç, Aydin

“… Abstract Biological networks capture structural or functional properties of relevant entities such as molecules, proteins or genes. Characteristic examples are …”
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A heterogeneous parallel implementation of the Markov clustering algorithm for large-scale biological networks on distributed CPU–GPU clusters von Fu, You, Zhou, Wei

“… Biological interaction databases accommodate information about interacted proteins or genes. Clustering on the networks formed by the interaction information …”
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Adaptive Markov Clustering Algorithm for Optimal Event Detection From Heterogeneous News Documents von Al-Dyani, Wafa Zubair

“… ) techniques based on wrapping the Markov Clustering Algorithm (MCL) with the Binary Bat Algorithm (BBA …”
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Retraction Note: Module overlapping structure detection in PPI using an improved link similarity-based Markov clustering algorithm von Gu, L., Han, Y., Wang, C., Chen, Wei, Jiao, Jun, Yuan, X.

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Module overlapping structure detection in PPI using an improved link similarity-based Markov clustering algorithm von L. Gu, Han, Y, Wang, C, Chen, Wei, Jiao, Jun, Yuan, X

“… with biological significance in PPI networks, we propose a Markov clustering algorithm based on link similarity (MLS). First of all, the weighted link similarity is calculated …”
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Unsupervised Wavelet-Feature Correlation Ratio Markov Clustering Algorithm for Remotely Sensed Images von Wang, Zhaohui

“… The wavelet-feature correlation ratio Markov clustering algorithm (WFCRMCA) for remotely sensed data is proposed based on an accurate description of abrupt spectral features and an optimized Markov clustering in the wavelet feather space …”
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Evaluation of BLAST-based edge-weighting metrics used for homology inference with the Markov Clustering algorithm von Gibbons, Theodore R., Mount, Stephen M., Cooper, Endymion D., Delwiche, Charles F.

“… Background Clustering protein sequences according to inferred homology is a fundamental step in the analysis of many large data sets. Since the publication of …”
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Operon Prediction Model Based on Markov Clustering Algorithm von Liu, Yanfeng, Liang, Yongquan

“… In this paper, an operon prediction model based on Markov clustering algorithm is proposed. The model uses some generic attribute information of genomes and graph clustering algorithm instead of classifier to predict operon …”
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Erratum to: Evaluation of BLAST-based edge-weighting metrics used for homology inference with the Markov Clustering algorithm von Gibbons, Theodore R., Mount, Stephen M., Cooper, Endymion D., Delwiche, Charles F.

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A modified two-stage Markov clustering algorithm for large and sparse networks von Szilágyi, László, Szilágyi, Sándor M.

“… •A fast and memory efficient, two-stage Markov clustering algorithm is proposed.•The algorithm is designed for the analysis of large and sparse graphs …”
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RETRACTED ARTICLE: Module overlapping structure detection in PPI using an improved link similarity-based Markov clustering algorithm von Gu, L., Han, Y., Wang, C., Chen, Wei, Jiao, Jun, Yuan, X.

“… with biological significance in PPI networks, we propose a Markov clustering algorithm based on link similarity (MLS). First of all, the weighted link similarity is calculated …”
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Protein Clustering in Formation of Falciparum Plasmodium using Soft Regularized-Markov Clustering Algorithm von Amrullah, Hafizh, Wisnubroto, Syamsuddin

“… AbstractProtein has an important role in our life. Every protein interacts with other proteins, DNA, and other molecules. It forms a very large protein …”
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Efficient Markov clustering algorithm for protein sequence grouping von Szilagyi, Laszlo, Szilagyi, Sandor M.

“… In this paper we propose an efficient reformulation of a Markov clustering algorithm, suitable for fast and accurate grouping of protein sequences, based on pairwise similarity information …”
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Evolutionary Markov Dynamics for Network Community Detection von Wang, Zhen, Wang, Chunyu, Li, Xianghua, Gao, Chao, Li, Xuelong, Zhu, Junyou

“… Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide …”
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Bag-of-word based brand recognition using Markov clustering algorithm for codebook generation von Benezeth, Yannick, Bertaux, Aurelie, Manceau, Aldric

“… In order to address the issue of counterfeiting online, it is necessary to use automatic tools that analyze the large amount of information available over the …”
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A soft computing approach for benign and malicious web robot detection von Zabihimayvan, Mahdieh, Sadeghi, Reza, Rude, H. Nathan, Doran, Derek

“… •We propose a method called SMART (Soft computing for MAlicious RoboT detection).•The method detects benign and malicious robots, and human visitors to a web …”
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Unsupervised Wavelet-Feature Markov Clustering Algorithm for Remotely Sensed Images von Wang, Zhaohui

“… Wavelet-feature Markov clustering algorithm for the remotely sensed data is based on an accurate description of abrupt spectral features and an optimized Markov clustering in the wavelet feather space …”
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Network Community Detection Based on the Physarum-Inspired Computational Framework von Gao, Chao, Liang, Mingxin, Li, Xianghua, Zhang, Zili, Wang, Zhen, Zhou, Zhili

“… Community detection is a crucial and essential problem in the structure analytics of complex networks, which can help us understand and predict the …”
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Implementation of regularized Markov clustering algorithm on protein interaction networks of schizophrenia's risk factor candidate genes von Ginanjar, Rizky, Bustamam, Alhadi, Tasman, Hengki

“… ). Therefore, it is necessary to study the PPI network of the candidate genes. Regularized Markov Clustering Algorithm (RMCL …”
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