Search Results - graph algorithms in ((informatics OR information) OR informatika)

Graph representation learning in bioinformatics: trends, methods and applications by 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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Data mining : concepts and techniques by Han, Jiawei, Kamber, Micheline, Pei, Jian

“… and automated tools that can help us transform this data into useful information and knowledge…”
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Mathematics for Informatics and Computer Science by Audibert, Pierre

“… This text, presented in three parts (Combinatorics, Probability, Graphs) addresses all those who wish to acquire basic or advanced knowledge in combinatorial theories…”
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Engineering informatics: fundamentals of computer-aided engineering by Benny Raphael, Ian F. C. Smith

“…). Engineering Informatics: Fundamentals of Computer-Aided Engineering, 2nd Edition provides the foundation knowledge of computing that is essential for all engineers…”
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Tree-like Dimensionality Reduction for Cancer-informatics by Zhang, Xia, Chang, Di, Qi, Weimin, Zhan, Zhiming

“… In this paper, an algorithm based on information theory, mutual information and maximum spanning tree will be proposed, in order to implement dimensionality reduction under global consideration…”
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Graph-based prediction of Protein-protein interactions with attributed signed graph embedding by Yang, Fang, Fan, Kunjie, Song, Dandan, Lin, Huakang

“… Structural information of PPI networks such as their degree, position, and neighboring nodes in a graph has been proved to be informative in PPI prediction…”
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Graph kernels for chemical informatics by Ralaivola, Liva, Swamidass, Sanjay J., Saigo, Hiroto, Baldi, Pierre

“… and chemical informatics. Because chemical compounds are often represented by the graph of their covalent bonds, machine learning methods in this domain must be capable of processing graphical structures with variable size…”
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Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature by Tao, Lei, Varshney, Vikas, Li, Ying

“…In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the glass transition temperature Tg and other properties of polymers has attracted extensive attention…”
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A multimodal graph neural network framework for cancer molecular subtype classification by Li, Bingjun, Nabavi, Sheida

“… Due to the nature of biological systems, graphs are a better structural representation of bio-medical data…”
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Integrating Hi-C links with assembly graphs for chromosome-scale assembly by Ghurye, Jay, Rhie, Arang, Walenz, Brian P., Schmitt, Anthony, Selvaraj, Siddarth, Pop, Mihai, Phillippy, Adam M., Koren, Sergey

“… We present a novel open-source Hi-C scaffolder that does not require an a priori estimate of chromosome number and minimizes errors by scaffolding with the assistance of an assembly graph…”
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A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications by Bolleman, Jerven, Emonet, Vincent, Altenhoff, Adrian, Bairoch, Amos, Blatter, Marie-Claude, Bridge, Alan, Duvaud, Séverine, Gasteiger, Elisabeth, Kuznetsov, Dmitry, Moretti, Sébastien, Michel, Pierre-Andre, Morgat, Anne, Pagni, Marco, Redaschi, Nicole, Zahn-Zabal, Monique, de Farias, Tarcisio Mendes, Sima, Ana Claudia

“… Knowledge graphs have seen increased adoption in bioinformatics due to their advantages for representing data in a generic graph format…”
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Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing by Blumenthal, David B., Boria, Nicolas, Bougleux, Sébastien, Brun, Luc, Gamper, Johann, Gaüzère, Benoit

“…In this paper, we present GMG-BCU—a local search algorithm based on block coordinate update for estimating a generalized median graph for a given collection of labeled or unlabeled input graphs…”
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Short-Term Longitudinal Study on Brain Network Informatics of Stroke Patients Under Acupuncture and Motor Imagery Intervention by Qu, Jing, Du, Yijun, Jing, Jing, Wang, Jie, Bu, Lingguo, Wang, Yonghui

“…Objective: The quest for scientifically effective rehabilitation methods for stroke recovery constitutes an urgent need. However, due to the inadequacies of…”
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Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms by Niu, Haoran, Omitaomu, Olufemi A., Langston, Michael A., Grady, Stephen K., Olama, Mohammed, Ozmen, Ozgur, Klasky, Hilda B., Laurio, Angela, Ward, Merry, Nebeker, Jonathan

“…) to make informed decisions regarding their patients in various clinical domains. Consequently, the dependability of the health information technology (HIT…”
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Disease Prediction via Graph Neural Networks by Sun, Zhenchao, Yin, Hongzhi, Chen, Hongxu, Chen, Tong, Cui, Lizhen, Yang, Fan

“… of rare diseases that are subject to severe data scarcity. For each rare disease, the limited EMR data can hardly offer sufficient information for a model to correctly distinguish its identity from other diseases with similar clinical symptoms…”
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Modeling the Structure–Property Linkages Between the Microstructure and Thermodynamic Properties of Ceramic Particle-Reinforced Metal Matrix Composites Using a Materials Informatics Approach by Xie, Rui, Li, Geng, Cao, Peng, Tan, Zhifei, Wang, Jianru

“… To address this challenge, this study proposes a novel method based on Materials Informatics (MI…”
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Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students by Gonda, Dalibor, Ďuriš, Viliam, Tirpáková, Anna, Pavlovičová, Gabriela

“… Algorithms can be considered as a fundamental phenomenon that forms a point of contact between mathematics and informatics…”
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DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques by Thafar, Maha A., Olayan, Rawan S., Ashoor, Haitham, Albaradei, Somayah, Bajic, Vladimir B., Gao, Xin, Gojobori, Takashi, Essack, Magbubah

“…– T arget i nteractions using G raph E mbedding, graph M ining, and S imilarity-based techniques…”
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Exploration of organic superionic glassy conductors by process and materials informatics with lossless graph database by Hatakeyama-Sato, Kan, Umeki, Momoka, Adachi, Hiroki, Kuwata, Naoaki, Hasegawa, Gen, Oyaizu, Kenichi

“… We report a data platform that losslessly describes the relationships of structures, properties, and processes as graphs in electronic laboratory notebooks…”
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Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution by Peng, Wei, Chen, Tielin, Dai, Wei

“… Hence, we propose an end-to-end algorithm, namely MOFGCN, to predict drug response in cell lines based on Multi-Omics Fusion and Graph Convolution Network…”
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