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Journal Abstract Search

160 related items for PubMed ID: 29283433

  • 1. 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]

  • 2. RANWAR: rank-based weighted association rule mining from gene expression and methylation data.
    Mallik S, Mukhopadhyay A, Maulik U.
    IEEE Trans Nanobioscience; 2015 Jan 28; 14(1):59-66. PubMed ID: 25265613
    [Abstract] [Full Text] [Related]

  • 3. 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 28; 17(2):117-125. PubMed ID: 29870335
    [Abstract] [Full Text] [Related]

  • 4. Towards integrated oncogenic marker recognition through mutual information-based statistically significant feature extraction: an association rule mining based study on cancer expression and methylation profiles.
    Mallik S, Zhao Z.
    Quant Biol; 2017 Dec 28; 5(4):302-327. PubMed ID: 30221015
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  • 5. 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 Dec 28; 10(4):e0119448. PubMed ID: 25830807
    [Abstract] [Full Text] [Related]

  • 6. Association rule based similarity measures for the clustering of gene expression data.
    Sethi P, Alagiriswamy S.
    Open Med Inform J; 2010 Dec 28; 4():63-73. PubMed ID: 21603179
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  • 7. TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery.
    Liu Y, Ye X, Yu CY, Shao W, Hou J, Feng W, Zhang J, Huang K.
    BMC Bioinformatics; 2021 Oct 25; 22(Suppl 4):111. PubMed ID: 34689740
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  • 8. A functional gene module identification algorithm in gene expression data based on genetic algorithm and gene ontology.
    Zhang Y, Shi W, Sun Y.
    BMC Genomics; 2023 Feb 17; 24(1):76. PubMed ID: 36797662
    [Abstract] [Full Text] [Related]

  • 9. Analysis of the autophagy gene expression profile of pancreatic cancer based on autophagy-related protein microtubule-associated protein 1A/1B-light chain 3.
    Yang YH, Zhang YX, Gui Y, Liu JB, Sun JJ, Fan H.
    World J Gastroenterol; 2019 May 07; 25(17):2086-2098. PubMed ID: 31114135
    [Abstract] [Full Text] [Related]

  • 10. 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
    [Abstract] [Full Text] [Related]

  • 11. A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data.
    Mallik S, Seth S, Bhadra T, Zhao Z.
    Genes (Basel); 2020 Aug 12; 11(8):. PubMed ID: 32806782
    [Abstract] [Full Text] [Related]

  • 12. K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks.
    Hou J, Ye X, Li C, Wang Y.
    Genes (Basel); 2021 Jan 12; 12(1):. PubMed ID: 33445666
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. SNMRS: An advanced measure for Co-expression network analysis.
    Patowary P, Bhattacharyya DK, Barah P.
    Comput Biol Med; 2022 Apr 19; 143():105222. PubMed ID: 35121360
    [Abstract] [Full Text] [Related]

  • 15. Identifying RBM47, HCK, CD53, TYROBP, and HAVCR2 as Hub Genes in Advanced Atherosclerotic Plaques by Network-Based Analysis and Validation.
    Liu C, Zhang H, Chen Y, Wang S, Chen Z, Liu Z, Wang J.
    Front Genet; 2020 Apr 19; 11():602908. PubMed ID: 33519905
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  • 16. 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 Apr 19; 3():1182176. PubMed ID: 37576714
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  • 17. Immune infiltration landscape and immune-marker molecular typing of pulmonary fibrosis with pulmonary hypertension.
    Cai H, Liu H.
    BMC Pulm Med; 2021 Nov 25; 21(1):383. PubMed ID: 34823498
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  • 18. Identification of potential transcriptomic markers in developing pediatric sepsis: a weighted gene co-expression network analysis and a case-control validation study.
    Li Y, Li Y, Bai Z, Pan J, Wang J, Fang F.
    J Transl Med; 2017 Dec 13; 15(1):254. PubMed ID: 29237456
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  • 19. 3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection.
    Mallik S, Sarkar A, Nath S, Maulik U, Das S, Pati SK, Ghosh S, Zhao Z.
    Front Genet; 2023 Dec 13; 14():1095330. PubMed ID: 36865387
    [Abstract] [Full Text] [Related]

  • 20. A network-based variable selection approach for identification of modules and biomarker genes associated with end-stage kidney disease.
    Zeng X, Li C, Li Y, Yu H, Fu P, Hong HG, Zhang W.
    Nephrology (Carlton); 2020 Oct 13; 25(10):775-784. PubMed ID: 31464346
    [Abstract] [Full Text] [Related]

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