Suchergebnisse - graph algorithms in informatics

Lecture Scheduling System Using Welch Powell Graph Coloring Algorithm in Informatics Engineering Departement of Universitas Malikussaleh von Abdullah, Dahlan, Nurdin, Yaton, Marsali, Sujatmiko, Heri, Kristanto, Sepyan Purnama, Nazmi, Hendra, Sridanti, Irma Lisa, Suhendi, Andang, Hasibuan, Abdurrozzaq, Kurniawati, Renny, Harahap, Darmadi Erwin, Hutabarat, Hendry Dinus, Sudarsana, I Ketut

“… For this reason, a new lecture scheduling system is needed using the Welch Powell Graph Coloring Algorithm …”
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Graph representation learning in bioinformatics: trends, methods and applications von Yi, Hai-Cheng, You, Zhu-Hong, Huang, De-Shuang, Kwoh, Chee Keong

“… Ubiquitous real-life biomedical problems can be modeled as graph analytics tasks. Machine learning, especially deep learning, succeeds in vast bioinformatics scenarios with data represented in Euclidean domain …”
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Fitchi: haplotype genealogy graphs based on the Fitch algorithm von Matschiner, Michael

“… I here present Fitchi, a new program that produces publication-ready haplotype genealogy graphs based on the Fitch algorithm …”
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Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms von Niu, Haoran, Omitaomu, Olufemi A., Langston, Michael A., Grady, Stephen K., Olama, Mohammed, Ozmen, Ozgur, Klasky, Hilda B., Laurio, Angela, Ward, Merry, Nebeker, Jonathan

“… In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in various …”
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Risk stratification and pathway analysis based on graph neural network and interpretable algorithm von Liang, Bilin, Gong, Haifan, Lu, Lu, Xu, Jie

“… Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these models have not fully considered the topological features of pathways, which limits …”
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GCphase: an SNP phasing method using a graph partition and error correction algorithm von Luo, Junwei, Wang, Jiayi, Zhai, Haixia, Wang, Junfeng

“… Results In this study, we present a graph-based algorithm, GCphase, which utilizes the minimum cut algorithm to perform phasing …”
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WGT: Tools and algorithms for recognizing, visualizing, and generating Wheeler graphs von Chao, Kuan-Hao, Chen, Pei-Wei, Seshia, Sanjit A., Langmead, Ben

“… A Wheeler graph represents a collection of strings in a way that is particularly easy to index and query …”
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Physician nurse care: A new use of UMLS to measure professional contribution: Are we talking about the same patient a new graph matching algorithm? von Boyd, Andrew D, Dunn Lopez, Karen, Lugaresi, Camillo, Macieira, Tamara, Sousa, Vanessa, Acharya, Sabita, Balasubramanian, Abhinaya, Roussi, Khawllah, Keenan, Gail M, Lussier, Yves A, Li, Jianrong 'John', Burton, Michel, Di Eugenio, Barbara

“… Physician and nurses have worked together for generations; however, their language and training are vastly different; comparing and contrasting their work and …”
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A Novel Adaptive Sliding Observation-Based Cooperative Positioning Algorithm Under Factor Graph Framework for Multiple UUVs von Wang, Qingxin, Fan, Shiwei, Zhang, Ya, Gao, Wei, Wei, Jianxiong, Wang, Yanyan

“… Herein, we propose a novel adaptive sliding observation-based cooperative positioning algorithm under the factor graph framework …”
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Graph classification algorithm based on graph structure embedding von Ma, Tinghuai, Pan, Qian, Wang, Hongmei, Shao, Wenye, Tian, Yuan, Al-Nabhan, Najla

“… •Proposed a graph classification algorithm based on graph embedding. With the application of data mining in many fields such as information science, bioinformatic …”
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TwoPaCo: an efficient algorithm to build the compacted de Bruijn graph from many complete genomes von Minkin, Ilia, Pham, Son, Medvedev, Paul

“… ). In this article, we present TwoPaCo, a simple and scalable low memory algorithm for the direct construction of the compacted de Bruijn graph from a set of complete genomes …”
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METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs von Zhang, Zhenmiao, Zhang, Lu

“… ), where the linked contigs have high chance to be derived from the same clusters. Results We developed METAMVGL, a multi-view graph-based metagenomic contig binning algorithm by integrating both assembly and PE graphs …”
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Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations von Luo, Yuan, Uzuner, Özlem, Szolovits, Peter

“… Significant progress has been made in algorithm development and resource construction. In particular, graph-based approaches bridge semantics and syntax, often achieving the best performance in shared …”
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Recycler: an algorithm for detecting plasmids from de novo assembly graphs von Rozov, Roye, Brown Kav, Aya, Bogumil, David, Shterzer, Naama, Halperin, Eran, Mizrahi, Itzhak, Shamir, Ron

“… Here, we attempt to ameliorate this situation by introducing a new circular element assembly algorithm, leveraging assembly graphs provided by a conventional de novo assembler and alignments …”
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A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development von Li, Linfeng, Wang, Peng, Wang, Yao, Wang, Shenghui, Yan, Jun, Jiang, Jinpeng, Tang, Buzhou, Wang, Chengliang, Liu, Yuting

“… Several translation-based algorithms, including TransE, TransH, TransR, TransD, and TranSparse, have been proposed to learn effective embedding vectors from typical knowledge graphs in which the …”
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Essential proteins in cancer networks: a graph-based perspective using Dijkstra’s algorithm von Rout, Trilochan, Mohapatra, Anjali, Kar, Madhabananda, Muduly, Dillip Kumar

“… This study introduces a novel graph-based approach to identify essential cancer proteins within PPI networks, focusing on breast, lung, colorectal, and ovarian cancers …”
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BOSS: a novel scaffolding algorithm based on an optimized scaffold graph von Luo, Junwei, Wang, Jianxin, Zhang, Zhen, Li, Min, Wu, Fang-Xiang

“… Most existing scaffolding tools adopt scaffold graph approaches. However, due to repetitive regions in genome, sequencing errors and uneven sequencing depth, constructing an accurate scaffold graph is still a challenge task …”
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A graph-based algorithm for detecting rigid domains in protein structures von Dang, Truong Khanh Linh, Nguyen, Thach, Habeck, Michael, Gültas, Mehmet, Waack, Stephan

“… Graph clustering algorithms allow us to reduce the graph and run the Viterbi algorithm …”
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Tree diet: reducing the treewidth to unlock FPT algorithms in RNA bioinformatics von Marchand, Bertrand, Ponty, Yann, Bulteau, Laurent

“… Hard graph problems are ubiquitous in Bioinformatics, inspiring the design of specialized Fixed-Parameter Tractable algorithms, many of which rely on a combination of tree-decomposition and dynamic programming …”
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Biological network analysis with deep learning von Muzio, Giulia, O’Bray, Leslie, Borgwardt, Karsten

“… One major trend in the field is to use deep learning for this goal and, more specifically, to use methods that work with networks, the so-called graph neural networks (GNNs …”
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