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Journal Abstract Search

267 related items for PubMed ID: 29870335

  • 1. DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein-Protein Interaction Profiles.
    Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A.
    IEEE Trans Nanobioscience; 2018 Apr; 17(2):117-125. PubMed ID: 29870335
    [Abstract] [Full Text] [Related]

  • 2. Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining.
    Maulik U, Mallik S, Mukhopadhyay A, Bandyopadhyay S.
    PLoS One; 2015 Apr; 10(4):e0119448. PubMed ID: 25830807
    [Abstract] [Full Text] [Related]

  • 3. RANWAR: rank-based weighted association rule mining from gene expression and methylation data.
    Mallik S, Mukhopadhyay A, Maulik U.
    IEEE Trans Nanobioscience; 2015 Jan; 14(1):59-66. PubMed ID: 25265613
    [Abstract] [Full Text] [Related]

  • 4. Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data.
    Mallik S, Seth S, Si A, Bhadra T, Zhao Z.
    Front Bioinform; 2023 Jan; 3():1182176. PubMed ID: 37576714
    [Abstract] [Full Text] [Related]

  • 5. Dynamic association rules for gene expression data analysis.
    Chen SC, Tsai TH, Chung CH, Li WH.
    BMC Genomics; 2015 Oct 14; 16():786. PubMed ID: 26467206
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  • 6. Mining Temporal Protein Complex Based on the Dynamic PIN Weighted with Connected Affinity and Gene Co-Expression.
    Shen X, Yi L, Jiang X, He T, Hu X, Yang J.
    PLoS One; 2016 Oct 14; 11(4):e0153967. PubMed ID: 27100396
    [Abstract] [Full Text] [Related]

  • 7. Divide and Conquer Approach to Contact Map Overlap Problem Using 2D-Pattern Mining of Protein Contact Networks.
    Koneru SV, Bhavani DS.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Oct 14; 12(4):729-37. PubMed ID: 26357311
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  • 8. Identification of temporal association rules from time-series microarray data sets.
    Nam H, Lee K, Lee D.
    BMC Bioinformatics; 2009 Mar 19; 10 Suppl 3(Suppl 3):S6. PubMed ID: 19344482
    [Abstract] [Full Text] [Related]

  • 9. Text mining and visualisation of Protein-Protein Interactions.
    Tsai FS.
    Int J Comput Biol Drug Des; 2011 Mar 19; 4(3):239-44. PubMed ID: 21778557
    [Abstract] [Full Text] [Related]

  • 10. Hash subgraph pairwise kernel for protein-protein interaction extraction.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2012 Mar 19; 9(4):1190-202. PubMed ID: 22595237
    [Abstract] [Full Text] [Related]

  • 11. Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism.
    Hu YH, Chen YL.
    Decis Support Syst; 2006 Oct 19; 42(1):1-24. PubMed ID: 32287563
    [Abstract] [Full Text] [Related]

  • 12. Multimodal Omics Data Integration Using Max Relevance--Max Significance Criterion.
    Maji P, Mandal A.
    IEEE Trans Biomed Eng; 2017 Aug 19; 64(8):1841-1851. PubMed ID: 27834637
    [Abstract] [Full Text] [Related]

  • 13. Association rule mining with a special rule coding and dynamic genetic algorithm for air quality impact factors in Beijing, China.
    Wu X, Wen Q, Zhu J.
    PLoS One; 2024 Aug 19; 19(3):e0299865. PubMed ID: 38437225
    [Abstract] [Full Text] [Related]

  • 14. The Mining Algorithm of Maximum Frequent Itemsets Based on Frequent Pattern Tree.
    Mi X.
    Comput Intell Neurosci; 2022 Aug 19; 2022():7022168. PubMed ID: 35634074
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  • 15. Prediction of regulatory gene pairs using dynamic time warping and gene ontology.
    Yang AC, Hsu HH, Lu MD, Tseng VS, Shih TK.
    Int J Data Min Bioinform; 2014 Aug 19; 10(2):121-45. PubMed ID: 25796734
    [Abstract] [Full Text] [Related]

  • 16. Construction and application of dynamic protein interaction network based on time course gene expression data.
    Wang J, Peng X, Li M, Pan Y.
    Proteomics; 2013 Jan 19; 13(2):301-12. PubMed ID: 23225755
    [Abstract] [Full Text] [Related]

  • 17. High confidence rule mining for microarray analysis.
    McIntosh T, Chawla S.
    IEEE/ACM Trans Comput Biol Bioinform; 2007 Jan 19; 4(4):611-623. PubMed ID: 17975272
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  • 18. A mouse protein interactome through combined literature mining with multiple sources of interaction evidence.
    Li X, Cai H, Xu J, Ying S, Zhang Y.
    Amino Acids; 2010 Apr 19; 38(4):1237-52. PubMed ID: 19669079
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  • 19. A novel association rule mining approach using TID intermediate itemset.
    Aqra I, Herawan T, Abdul Ghani N, Akhunzada A, Ali A, Bin Razali R, Ilahi M, Raymond Choo KK.
    PLoS One; 2018 Apr 19; 13(1):e0179703. PubMed ID: 29351287
    [Abstract] [Full Text] [Related]

  • 20. ConGEMs: Condensed Gene Co-Expression Module Discovery Through Rule-Based Clustering and Its Application to Carcinogenesis.
    Mallik S, Zhao Z.
    Genes (Basel); 2017 Dec 28; 9(1):. PubMed ID: 29283433
    [Abstract] [Full Text] [Related]

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