Suchergebnisse - previous computational methods

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction von Li, Tian-Hao, Wang, Chun-Chun, Zhang, Li, Chen, Xing

“… Considering the limitations of the previous computational methods, we developed a new model named Siamese Network and Random Matrix Projection for AntiCancer Drug Combination prediction (SNRMPACDC …”
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RNA-Seq gene expression estimation with read mapping uncertainty von Li, Bo, Ruotti, Victor, Stewart, Ron M., Thomson, James A., Dewey, Colin N.

“… Previous computational methods either discard reads that map to multiple locations or allocate them to genes heuristically. Results …”
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Benchmarking cell-type clustering methods for spatially resolved transcriptomics data von Cheng, Andrew, Hu, Guanyu, Li, Wei Vivian

“… While previous computational methods have relied on gene expression information alone for clustering single-cell populations, more recent methods have begun to leverage spatial location and histology …”
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PREDICT: a method for inferring novel drug indications with application to personalized medicine von Gottlieb, Assaf, Stein, Gideon Y, Ruppin, Eytan, Sharan, Roded

“… Previous computational methods in this domain have focused on either drug repositioning or matching drug and disease gene expression profiles …”
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NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion von Chen, Xing, Sun, Lian-Gang, Zhao, Yan

“… In view of that traditional biological experiments cost much time and resources, computational models would serve as complementary means to uncover potential miRNA …”
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Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptake von Kingsford, Carleton L, Ayanbule, Kunmi, Salzberg, Steven L

“… Previous computational methods to predict Rho-independent terminators have been slow or limited in the organisms they consider …”
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WBSMDA: Within and Between Score for MiRNA-Disease Association prediction von Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong, Deng, Lixi, Liu, Ying, Zhang, Yongdong, Dai, Qionghai

“… Considering the limitations in previous computational methods, we developed the model of Within and Between Score for MiRNA-Disease Association prediction (WBSMDA …”
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Predicting potential microbe-disease associations based on auto-encoder and graph convolution network von Lu, Shanghui, Liang, Yong, Li, Le, Miao, Rui, Liao, Shuilin, Zou, Yongfu, Yang, Chengjun, Ouyang, Dong

“… The computational methods can solve the above problems well, but the previous computational methods still have the problems …”
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Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes von Shi, Hongbo, Xu, Juan, Zhang, Guangde, Xu, Liangde, Li, Chunquan, Wang, Li, Zhao, Zheng, Jiang, Wei, Guo, Zheng, Li, Xia

“… However, miRNA-disease associations identified by previous computational methods are far from completeness and more effort is needed …”
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Accelerating the Hit-To-Lead Optimization of a SARS-CoV-2 Mpro Inhibitor Series by Combining High-Throughput Medicinal Chemistry and Computational Simulations von Hazemann, Julien, Kimmerlin, Thierry, Mac Sweeney, Aengus, Bourquin, Geoffroy, Lange, Roland, Ritz, Daniel, Richard-Bildstein, Sylvia, Regeon, Sylvain, Czodrowski, Paul

“… (identified by computational methods in a previous work) by combining computational simulations with high-throughput medicinal chemistry (HTMC …”
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Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference von Zhang, Jingpu, Zhang, Zuping, Chen, Zhigang, Deng, Lei

“… Considering the limitations in previous computational methods, we develop a new global network-based …”
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SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning von Zeng, Min, Lu, Chengqian, Zhang, Fuhao, Li, Yiming, Wu, Fang-Xiang, Li, Yaohang, Li, Min

“… •A novel hybrid computational framework for lncRNA-disease association prediction …”
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Equivariant 3D-Conditional Diffusion Model for De Novo Drug Design von Zheng, Jia, Yi, Hai-Cheng, You, Zhu-Hong

“… De novo drug design speeds up drug discovery, mitigating its time and cost burdens with advanced computational methods …”
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Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics von Lu, Congyu, Zhang, Zheng, Cai, Zena, Zhu, Zhaozhong, Qiu, Ye, Wu, Aiping, Jiang, Taijiao, Zheng, Heping, Peng, Yousong

“… Currently, the method for determining the viral host is either to culture the virus, which is low-throughput, time-consuming, and expensive, or to computationally predict the viral hosts, which needs …”
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High-order neural networks and kernel methods for peptide-MHC binding prediction von Kuksa, Pavel P., Min, Martin Renqiang, Dugar, Rishabh, Gerstein, Mark

“… However, previous computational methods fail to capture key nonlinear high-order dependencies between different amino acid positions …”
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Scaling laws of bacterial and archaeal plasmids von Maddamsetti, Rohan, Shyti, Irida, Wilson, Maggie L., Son, Hye-In, Baig, Yasa, Zhou, Zhengqing, Lu, Jia, You, Lingchong

“… ‘Pseudoalignment and Probabilistic Iterative Read Assignment’ (pseuPIRA), a computational method that overcomes previous computational bottlenecks, enabling rapid and accurate determination of plasmid copy numbers at large scale …”
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HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction von Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong, Huang, Yu-An, Yan, Gui-Ying

“… s. In this study, considering the limitations in the previous computational methods, we developed the computational model of Heterogeneous Graph Inference for MiRNA-Disease Association prediction (HGIMDA …”
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A heterogeneous label propagation approach to explore the potential associations between miRNA and disease von Chen, Xing, Zhang, De-Hong, You, Zhu-Hong

“… Methods In this study, considering the insufficiency of the previous computational methods, we proposed the model named heterogeneous label propagation for MiRNA-disease association prediction (HLPMDA …”
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High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles von Wang, Yejun, Zhang, Qing, Sun, Ming-an, Guo, Dianjing

“… ), which play important roles in the interaction between bacteria and their hosts. Previous computational methods for T3S protein prediction have only achieved limited …”
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Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning von Li, Jianan, Yanagisawa, Keisuke, Yoshikawa, Yasushi, Ohue, Masahito, Akiyama, Yutaka

“… However, due to structural differences, previous computational prediction methods developed for small-molecule compounds cannot be successfully applied to cyclic peptides, and methods for predicting …”
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