BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

260 related articles for article (PubMed ID: 36305456)

  • 41. Heterogeneous graph framework for predicting the association between lncRNA and disease and case on uterine fibroid.
    Sheng QJ; Tan Y; Zhang L; Wu ZP; Wang B; He XY
    Comput Biol Med; 2023 Oct; 165():107331. PubMed ID: 37619322
    [TBL] [Abstract][Full Text] [Related]  

  • 42. LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.
    Xuan P; Jia L; Zhang T; Sheng N; Li X; Li J
    Int J Mol Sci; 2019 Sep; 20(18):. PubMed ID: 31510011
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Data resources and computational methods for lncRNA-disease association prediction.
    Sheng N; Huang L; Lu Y; Wang H; Yang L; Gao L; Xie X; Fu Y; Wang Y
    Comput Biol Med; 2023 Feb; 153():106527. PubMed ID: 36610216
    [TBL] [Abstract][Full Text] [Related]  

  • 44. LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets.
    Wang Y; Juan L; Peng J; Zang T; Wang Y
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):582. PubMed ID: 31787106
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.
    Li J; Li X; Feng X; Wang B; Zhao B; Wang L
    BMC Bioinformatics; 2019 Dec; 20(1):626. PubMed ID: 31795943
    [TBL] [Abstract][Full Text] [Related]  

  • 46. LDAformer: predicting lncRNA-disease associations based on topological feature extraction and Transformer encoder.
    Zhou Y; Wang X; Yao L; Zhu M
    Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36094081
    [TBL] [Abstract][Full Text] [Related]  

  • 47. GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations.
    Yao D; Li B; Zhan X; Zhan X; Yu L
    BMC Bioinformatics; 2024 Jan; 25(1):5. PubMed ID: 38166659
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Inferring disease and pathway associations of long non-coding RNAs using heterogeneous information network model.
    Sunil Kumar PV; Gopakumar G
    J Bioinform Comput Biol; 2019 Aug; 17(4):1950020. PubMed ID: 31617466
    [TBL] [Abstract][Full Text] [Related]  

  • 49. DeepLGP: a novel deep learning method for prioritizing lncRNA target genes.
    Zhao T; Hu Y; Peng J; Cheng L
    Bioinformatics; 2020 Aug; 36(16):4466-4472. PubMed ID: 32467970
    [TBL] [Abstract][Full Text] [Related]  

  • 50. KATZLGO: Large-Scale Prediction of LncRNA Functions by Using the KATZ Measure Based on Multiple Networks.
    Zhang Z; Zhang J; Fan C; Tang Y; Deng L
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):407-416. PubMed ID: 28534780
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Heterogeneous graph attention network based on meta-paths for lncRNA-disease association prediction.
    Zhao X; Zhao X; Yin M
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34585231
    [TBL] [Abstract][Full Text] [Related]  

  • 52. GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.
    Li M; Zhao B; Yin R; Lu C; Guo F; Zeng M
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36545797
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
    Guo ZH; Chen ZH; You ZH; Wang YB; Yi HC; Wang MN
    BMC Bioinformatics; 2022 Mar; 22(Suppl 5):622. PubMed ID: 35317723
    [TBL] [Abstract][Full Text] [Related]  

  • 54. LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.
    Yang S; Wang Y; Lin Y; Shao D; He K; Huang L
    Molecules; 2020 Sep; 25(19):. PubMed ID: 32977679
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Construction of a lncRNA-PCG bipartite network and identification of cancer-related lncRNAs: a case study in prostate cancer.
    Liu Y; Zhang R; Qiu F; Li K; Zhou Y; Shang D; Xu Y
    Mol Biosyst; 2015 Feb; 11(2):384-93. PubMed ID: 25385343
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Protein-coding genes combined with long non-coding RNAs predict prognosis in esophageal squamous cell carcinoma patients as a novel clinical multi-dimensional signature.
    Guo JC; Li CQ; Wang QY; Zhao JM; Ding JY; Li EM; Xu LY
    Mol Biosyst; 2016 Oct; 12(11):3467-3477. PubMed ID: 27714034
    [TBL] [Abstract][Full Text] [Related]  

  • 57. RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation.
    Xie G; Huang B; Sun Y; Wu C; Han Y
    Mol Genet Genomics; 2021 May; 296(3):473-483. PubMed ID: 33590345
    [TBL] [Abstract][Full Text] [Related]  

  • 58. IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
    Fan W; Shang J; Li F; Sun Y; Yuan S; Liu JX
    BMC Bioinformatics; 2020 Jul; 21(1):339. PubMed ID: 32736513
    [TBL] [Abstract][Full Text] [Related]  

  • 59. GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning.
    Cai J; Wang T; Deng X; Tang L; Liu L
    BMC Genomics; 2023 Jan; 24(1):52. PubMed ID: 36709266
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Identification of Cancer-Related Long Non-Coding RNAs Using XGBoost With High Accuracy.
    Zhang X; Li T; Wang J; Li J; Chen L; Liu C
    Front Genet; 2019; 10():735. PubMed ID: 31456817
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.