Search Results - previous computational methods

Refine Results
  1. 1

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

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Published: England Oxford University Press 19.01.2023
    Published in Briefings in bioinformatics (19.01.2023)
    “… 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…”
    Get full text
    Journal Article
  2. 2

    RNA-Seq gene expression estimation with read mapping uncertainty by Li, Bo, Ruotti, Victor, Stewart, Ron M., Thomson, James A., Dewey, Colin N.

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Published: Oxford Oxford University Press 15.02.2010
    Published in Bioinformatics (15.02.2010)
    “… Previous computational methods either discard reads that map to multiple locations or allocate them to genes heuristically. Results…”
    Get full text
    Journal Article
  3. 3

    Benchmarking cell-type clustering methods for spatially resolved transcriptomics data by Cheng, Andrew, Hu, Guanyu, Li, Wei Vivian

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Published: England Oxford University Press 19.01.2023
    Published in Briefings in bioinformatics (19.01.2023)
    “… 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…”
    Get full text
    Journal Article
  4. 4

    PREDICT: a method for inferring novel drug indications with application to personalized medicine by Gottlieb, Assaf, Stein, Gideon Y, Ruppin, Eytan, Sharan, Roded

    ISSN: 1744-4292, 1744-4292
    Published: London Nature Publishing Group UK 07.06.2011
    Published in Molecular systems biology (07.06.2011)
    “… Previous computational methods in this domain have focused on either drug repositioning or matching drug and disease gene expression profiles…”
    Get full text
    Journal Article
  5. 5

    NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion by Chen, Xing, Sun, Lian-Gang, Zhao, Yan

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Published: England Oxford University Press 18.01.2021
    Published in Briefings in bioinformatics (18.01.2021)
    “… In view of that traditional biological experiments cost much time and resources, computational models would serve as complementary means to uncover potential miRNA…”
    Get full text
    Journal Article
  6. 6

    Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptake by Kingsford, Carleton L, Ayanbule, Kunmi, Salzberg, Steven L

    ISSN: 1474-760X, 1465-6906, 1474-760X, 1465-6914
    Published: England BioMed Central 21.02.2007
    Published in Genome biology (21.02.2007)
    “… Previous computational methods to predict Rho-independent terminators have been slow or limited in the organisms they consider…”
    Get full text
    Journal Article
  7. 7

    WBSMDA: Within and Between Score for MiRNA-Disease Association prediction by Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong, Deng, Lixi, Liu, Ying, Zhang, Yongdong, Dai, Qionghai

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 16.02.2016
    Published in Scientific reports (16.02.2016)
    “… Considering the limitations in previous computational methods, we developed the model of Within and Between Score for MiRNA-Disease Association prediction (WBSMDA…”
    Get full text
    Journal Article
  8. 8

    Predicting potential microbe-disease associations based on auto-encoder and graph convolution network by Lu, Shanghui, Liang, Yong, Li, Le, Miao, Rui, Liao, Shuilin, Zou, Yongfu, Yang, Chengjun, Ouyang, Dong

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 14.12.2023
    Published in BMC bioinformatics (14.12.2023)
    “… The computational methods can solve the above problems well, but the previous computational methods still have the problems…”
    Get full text
    Journal Article
  9. 9

    Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes by Shi, Hongbo, Xu, Juan, Zhang, Guangde, Xu, Liangde, Li, Chunquan, Wang, Li, Zhao, Zheng, Jiang, Wei, Guo, Zheng, Li, Xia

    ISSN: 1752-0509, 1752-0509
    Published: London BioMed Central 08.10.2013
    Published in BMC systems biology (08.10.2013)
    “… However, miRNA-disease associations identified by previous computational methods are far from completeness and more effort is needed…”
    Get full text
    Journal Article
  10. 10

    Accelerating the Hit-To-Lead Optimization of a SARS-CoV-2 Mpro Inhibitor Series by Combining High-Throughput Medicinal Chemistry and Computational Simulations by Hazemann, Julien, Kimmerlin, Thierry, Mac Sweeney, Aengus, Bourquin, Geoffroy, Lange, Roland, Ritz, Daniel, Richard-Bildstein, Sylvia, Regeon, Sylvain, Czodrowski, Paul

    ISSN: 0022-2623, 1520-4804, 1520-4804
    Published: WASHINGTON Amer Chemical Soc 24.04.2025
    Published in Journal of medicinal chemistry (24.04.2025)
    “… (identified by computational methods in a previous work) by combining computational simulations with high-throughput medicinal chemistry (HTMC…”
    Get more information
    Journal Article
  11. 11

    Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference by Zhang, Jingpu, Zhang, Zuping, Chen, Zhigang, Deng, Lei

    ISSN: 1545-5963, 1557-9964, 1557-9964
    Published: United States IEEE 01.03.2019
    “… Considering the limitations in previous computational methods, we develop a new global network-based…”
    Get full text
    Journal Article
  12. 12

    SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning by Zeng, Min, Lu, Chengqian, Zhang, Fuhao, Li, Yiming, Wu, Fang-Xiang, Li, Yaohang, Li, Min

    ISSN: 1046-2023, 1095-9130, 1095-9130
    Published: United States Elsevier Inc 01.07.2020
    Published in Methods (San Diego, Calif.) (01.07.2020)
    “…•A novel hybrid computational framework for lncRNA-disease association prediction…”
    Get full text
    Journal Article
  13. 13

    Equivariant 3D-Conditional Diffusion Model for De Novo Drug Design by Zheng, Jia, Yi, Hai-Cheng, You, Zhu-Hong

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Published: United States IEEE 01.03.2025
    “…De novo drug design speeds up drug discovery, mitigating its time and cost burdens with advanced computational methods…”
    Get full text
    Journal Article
  14. 14

    Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics by Lu, Congyu, Zhang, Zheng, Cai, Zena, Zhu, Zhaozhong, Qiu, Ye, Wu, Aiping, Jiang, Taijiao, Zheng, Heping, Peng, Yousong

    ISSN: 1741-7007, 1741-7007
    Published: London BioMed Central 14.01.2021
    Published in BMC biology (14.01.2021)
    “… 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…”
    Get full text
    Journal Article
  15. 15

    High-order neural networks and kernel methods for peptide-MHC binding prediction by Kuksa, Pavel P., Min, Martin Renqiang, Dugar, Rishabh, Gerstein, Mark

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Published: England 15.11.2015
    Published in Bioinformatics (Oxford, England) (15.11.2015)
    “… However, previous computational methods fail to capture key nonlinear high-order dependencies between different amino acid positions…”
    Get full text
    Journal Article
  16. 16

    Scaling laws of bacterial and archaeal plasmids by Maddamsetti, Rohan, Shyti, Irida, Wilson, Maggie L., Son, Hye-In, Baig, Yasa, Zhou, Zhengqing, Lu, Jia, You, Lingchong

    ISSN: 2041-1723, 2041-1723
    Published: London Nature Publishing Group UK 02.07.2025
    Published in Nature communications (02.07.2025)
    “… ‘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…”
    Get full text
    Journal Article
  17. 17

    HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction by Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong, Huang, Yu-An, Yan, Gui-Ying

    ISSN: 1949-2553, 1949-2553
    Published: United States 04.10.2016
    Published in Oncotarget (04.10.2016)
    “…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…”
    Get more information
    Journal Article
  18. 18

    A heterogeneous label propagation approach to explore the potential associations between miRNA and disease by Chen, Xing, Zhang, De-Hong, You, Zhu-Hong

    ISSN: 1479-5876, 1479-5876
    Published: London BioMed Central 11.12.2018
    Published in Journal of translational medicine (11.12.2018)
    “… 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…”
    Get full text
    Journal Article
  19. 19

    High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles by Wang, Yejun, Zhang, Qing, Sun, Ming-an, Guo, Dianjing

    ISSN: 1367-4803, 1367-4811, 1367-4811, 1460-2059
    Published: Oxford Oxford University Press 15.03.2011
    Published in Bioinformatics (15.03.2011)
    “…), which play important roles in the interaction between bacteria and their hosts. Previous computational methods for T3S protein prediction have only achieved limited…”
    Get full text
    Journal Article
  20. 20

    Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning by Li, Jianan, Yanagisawa, Keisuke, Yoshikawa, Yasushi, Ohue, Masahito, Akiyama, Yutaka

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Published: England Oxford University Press 27.01.2022
    Published in Bioinformatics (27.01.2022)
    “… 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…”
    Get full text
    Journal Article