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  1. 1
    ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip

    ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip od Zongli Xu, Liang Niu, Leping Li, Jack A. Taylor

    Izdano 2015
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  2. 2
    <scp>MicroRNA</scp> levels are modulated in <i><scp>A</scp>edes aegypti</i> after exposure to <scp>D</scp>engue‐2

    <scp>MicroRNA</scp> levels are modulated in <i><scp>A</scp>edes aegypti</i> after exposure to <scp>D</scp>engue‐2 od Corey L. Campbell, Tabitha A. Harrison, Ann M. Hess, G. D. Ebel

    Izdano 2013
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  3. 3
    Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome

    Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome od Alessandro Mammana, Ho‐Ryun Chung

    Izdano 2015
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  4. 4
    How to build personalized multi-omics comorbidity profiles

    How to build personalized multi-omics comorbidity profiles od Mohammad Ali Moni, Píetro Lió

    Izdano 2015
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  5. 5
    Spatial normalization of array-CGH data

    Spatial normalization of array-CGH data od Pierre Neuvial, Philippe Hupé, Isabel Martínez Brito, Stéphane Liva, Élodie Manié, Caroline Brennetot, François Radvanyi, Alain Aurias, Emmanuel Barillot

    Izdano 2006
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  6. 6
    Detection of differentially methylated regions from whole-genome bisulfite sequencing data without replicates

    Detection of differentially methylated regions from whole-genome bisulfite sequencing data without replicates od Hao Wu, Tianlei Xu, Hao Feng, Li Chen, Ben Li, Bing Yao, Zhaohui Qin, Peng Jin, Karen N. Conneely

    Izdano 2015
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  7. 7
    Empirical array quality weights in the analysis of microarray data

    Empirical array quality weights in the analysis of microarray data od Matthew E. Ritchie, Dileepa Diyagama, Jody Neilson, Ryan K. van Laar, Alexander Dobrovic, Andrew J. Holloway, Gordon K. Smyth

    Izdano 2006
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  8. 8
    The Analysis of Gene Expression Data: Methods and Software

    The Analysis of Gene Expression Data: Methods and Software od Thomas Boyle

    Izdano 2005
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  9. 9
    A guide to genome‐wide association analysis and post‐analytic interrogation

    A guide to genome‐wide association analysis and post‐analytic interrogation od Eric Reed, Sara Núñez, David Kulp, Jing Qian, Muredach P. Reilly, Andrea S. Foulkes

    Izdano 2015
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  10. 10
    Analysis of cell-based RNAi screens

    Analysis of cell-based RNAi screens od Michael Boutros, Lı́gia P. Brás, Wolfgang Huber

    Izdano 2006
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  11. 11
    EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes

    EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes od Sheida Nabavi, Daniel Schmolze, Mayinuer Maitituoheti, Sadhika Malladi, Andrew H. Beck

    Izdano 2015
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  12. 12
    ToPASeq: an R package for topology-based pathway analysis of microarray and RNA-Seq data

    ToPASeq: an R package for topology-based pathway analysis of microarray and RNA-Seq data od Ivana Ihnatová, Eva Budínská

    Izdano 2015
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  13. 13
    diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data

    diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data od Aaron T. L. Lun, Gordon K. Smyth

    Izdano 2015
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  14. 14
    quantro: a data-driven approach to guide the choice of an appropriate normalization method

    quantro: a data-driven approach to guide the choice of an appropriate normalization method od Stephanie C. Hicks, Rafael A. Irizarry

    Izdano 2015
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  15. 15
    Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation

    Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation od Michael I. Love, John B. Hogenesch, Rafael A. Irizarry

    Izdano 2016
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  16. 16
    Interpretation of multiple probe sets mapping to the same gene in Affymetrix GeneChips

    Interpretation of multiple probe sets mapping to the same gene in Affymetrix GeneChips od Maria A. Stalteri, Andrew Harrison

    Izdano 2007
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  17. 17
    CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments

    CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments od Ashley J. Waardenberg, Samuel D. Bassett, Romaric Bouveret, Richard P. Harvey

    Izdano 2015
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  18. 18
    INSPEcT: a computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments

    INSPEcT: a computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments od Stefano de Pretis, Theresia Kreß, Marco J. Morelli, Giorgio Melloni, Laura Riva, Bruno Amati, Mattia Pelizzola

    Izdano 2015
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  19. 19
    DiffVar: a new method for detecting differential variability with application to methylation in cancer and aging

    DiffVar: a new method for detecting differential variability with application to methylation in cancer and aging od Belinda Phipson, Alicia Oshlack

    Izdano 2014
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  20. 20
    Exploring Massive, Genome Scale Datasets with the GenometriCorr Package

    Exploring Massive, Genome Scale Datasets with the GenometriCorr Package od Alexander V. Favorov, Loris Mularoni, Leslie Cope, Yulia A. Medvedeva, Andrey A. Mironov, Vsevolod J. Makeev, Sarah J. Wheelan

    Izdano 2012
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