A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.

Autor: Wang XF; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China., Huang L; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China., Wang Y; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China., Guan RC; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China., You ZH; School of Computer Science, Northwestern Polytechnical University, Youyi West Road, Xi'an,710072, China., Sheng N; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China., Xie XP; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China., Yang QX; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, No. 2699, Qianjin Street, Changchun 130012, China.

Publikováno v: Briefings in bioinformatics [Brief Bioinform] 2024 Sep 23; Vol. 25 (6).

Exploring the predictive values of SERP4 and FRZB in dilated cardiomyopathy based on an integrated analysis.

Autor: Qi B; Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, China., Wang HY; Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, China., Ma X; Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, China., Chi YF; Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, China., Gui C; Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, China. guichun@yahoo.com.

Publikováno v: BMC cardiovascular disorders [BMC Cardiovasc Disord] 2024 Oct 18; Vol. 24 (1), pp. 577. Date of Electronic Publication: 2024 Oct 18.

Artificial neural network inference analysis identified novel genes and gene interactions associated with skeletal muscle aging.

Autor: Tarum J; Department of Sport Science, Sport, Health and Performance Enhancement Research Centre (SHAPE), School of Science and Technology, Nottingham Trent University, Nottingham, UK., Ball G; Medical Technology Research Centre, Anglia Ruskin University, Essex, UK., Gustafsson T; Department of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.; Department of Clinical Physiology, Karolinska University Hospital, Huddinge, Sweden., Altun M; Department of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.; Department of Clinical Physiology, Karolinska University Hospital, Huddinge, Sweden., Santos L; Department of Sport Science, Sport, Health and Performance Enhancement Research Centre (SHAPE), School of Science and Technology, Nottingham Trent University, Nottingham, UK.

Publikováno v: Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2024 Oct; Vol. 15 (5), pp. 2143-2155. Date of Electronic Publication: 2024 Aug 29.

Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction.

Autor: Ji R; School of Automation and Information Engineering, Xi 'an University of Technology, No.5, Jinhua South Road, Xi'an, 710048, Shaanxi, China. 19077982@qq.com.; Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing, Xi'an, 710048, Shaanxi, China. 19077982@qq.com., Geng Y; School of Automation and Information Engineering, Xi 'an University of Technology, No.5, Jinhua South Road, Xi'an, 710048, Shaanxi, China., Quan X; School of Automation and Information Engineering, Xi 'an University of Technology, No.5, Jinhua South Road, Xi'an, 710048, Shaanxi, China.

Publikováno v: Scientific reports [Sci Rep] 2024 Sep 12; Vol. 14 (1), pp. 21342. Date of Electronic Publication: 2024 Sep 12.

MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infection.

Autor: Wei PJ; Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, Anhui, China., Bao JJ; Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, Anhui, China., Gao Z; Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, Anhui, China., Tan JY; Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, 518055, Guangdong, China., Cao RF; Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, Anhui, China., Su Y; School of Artificial Intelligence, Anhui University, 111 Jiulong Road, Hefei, 230601, Anhui, China., Zheng CH; School of Artificial Intelligence, Anhui University, 111 Jiulong Road, Hefei, 230601, Anhui, China. Electronic address: zhengch99@126.com., Deng L; Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, 518055, Guangdong, China. Electronic address: lideng03@szu.edu.cn.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Sep; Vol. 179, pp. 108835. Date of Electronic Publication: 2024 Jul 11.