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Journal Abstract Search

340 related items for PubMed ID: 26467206

  • 21. The feature selection bias problem in relation to high-dimensional gene data.
    Krawczuk J, Łukaszuk T.
    Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
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  • 22. Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads.
    Chen HI, Liu Y, Zou Y, Lai Z, Sarkar D, Huang Y, Chen Y.
    BMC Genomics; 2015 Jan; 16 Suppl 7(Suppl 7):S14. PubMed ID: 26099631
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  • 23. DQB: A novel dynamic quantitive classification model using artificial bee colony algorithm with application on gene expression profiles.
    Alshamlan HM.
    Saudi J Biol Sci; 2018 Jul; 25(5):932-946. PubMed ID: 30108444
    [Abstract] [Full Text] [Related]

  • 24. A primer to frequent itemset mining for bioinformatics.
    Naulaerts S, Meysman P, Bittremieux W, Vu TN, Vanden Berghe W, Goethals B, Laukens K.
    Brief Bioinform; 2015 Mar; 16(2):216-31. PubMed ID: 24162173
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  • 26. K-Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data.
    Wang K, Zhao Q, Lu J, Yu T.
    Biomed Res Int; 2015 Mar; 2015():918954. PubMed ID: 26339652
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  • 29. Attribute clustering for grouping, selection, and classification of gene expression data.
    Au WH, Chan KC, Wong AK, Wang Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2005 Mar; 2(2):83-101. PubMed ID: 17044174
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  • 30. BubbleGUM: automatic extraction of phenotype molecular signatures and comprehensive visualization of multiple Gene Set Enrichment Analyses.
    Spinelli L, Carpentier S, Montañana Sanchis F, Dalod M, Vu Manh TP.
    BMC Genomics; 2015 Oct 19; 16():814. PubMed ID: 26481321
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  • 31. Sex genes for genomic analysis in human brain: internal controls for comparison of probe level data extraction.
    Galfalvy HC, Erraji-Benchekroun L, Smyrniotopoulos P, Pavlidis P, Ellis SP, Mann JJ, Sibille E, Arango V.
    BMC Bioinformatics; 2003 Sep 08; 4():37. PubMed ID: 12962547
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  • 32. Benchmarking a memetic algorithm for ordering microarray data.
    Moscato P, Mendes A, Berretta R.
    Biosystems; 2007 Mar 08; 88(1-2):56-75. PubMed ID: 16870322
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  • 33. Progeny Clustering: A Method to Identify Biological Phenotypes.
    Hu CW, Kornblau SM, Slater JH, Qutub AA.
    Sci Rep; 2015 Aug 12; 5():12894. PubMed ID: 26267476
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  • 34. Bioinformatic Analysis of Next-Generation Sequencing Data to Identify WT1-Associated Differential Gene and Isoform Expression.
    Aitken S, Bharathavikru R.
    Methods Mol Biol; 2016 Aug 12; 1467():211-9. PubMed ID: 27417972
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  • 35. A DSRPCL-SVM approach to informative gene analysis.
    Xiong W, Cai Z, Ma J.
    Genomics Proteomics Bioinformatics; 2008 Jun 12; 6(2):83-90. PubMed ID: 18973864
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  • 36. Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions.
    Qian J, Dolled-Filhart M, Lin J, Yu H, Gerstein M.
    J Mol Biol; 2001 Dec 14; 314(5):1053-66. PubMed ID: 11743722
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  • 37. Fast iterative gene clustering based on information theoretic criteria for selecting the cluster structure.
    Giurcăneanu CD, Tăbuş I, Astola J, Ollila J, Vihinen M.
    J Comput Biol; 2004 Dec 14; 11(4):660-82. PubMed ID: 15579237
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