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BMC Bioinformatics
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February 8, 2008
Statistical issues in the analysis of Illumina data
Mark J Dunning, Nuno L Barbosa-Morais, Andy G Lynch, et al.
Plos Computational Biology
|
October 25, 2021
NanoMethViz: An R/Bioconductor package for visualizing long-read methylation data
Shian Su, Quentin Gouil, Marnie E Blewitt, et al.
Bioinformatics (Oxford, England)
|
February 23, 2012
Allele-specific expression analysis methods for high-density SNP microarray data
Ruijie Liu, Ana-Teresa Maia, Roslin Russell, et al.
BMC Research Notes
|
August 20, 2008
Spike-in validation of an Illumina-specific variance-stabilizing transformation
Mark J Dunning, Matthew E Ritchie, Nuno L Barbosa-Morais, et al.
Data in Brief
|
June 28, 2022
Corrigendum to 'A transcriptomic dataset evaluating the effect of radiotherapy injury on cells of skin and soft tissue' Data in Brief 41 (2022) 107828
Lipi Shuka, Stuart A Lee, Mei R M Du, et al.
Bioinformatics (Oxford, England)
|
August 28, 2007
A comparison of background correction methods for two-colour microarrays
Matthew E Ritchie, Jeremy Silver, Alicia Oshlack, et al.
British Journal of Haematology
|
May 26, 2016
Loss of PUMA (BBC3) does not prevent thrombocytopenia caused by the loss of BCL-XL (BCL2L1)
Alex R D Delbridge, Stephane Chappaz, Matthew E Ritchie, et al.
Data in Brief
|
February 7, 2022
A transcriptomic dataset evaluating the effect of radiotherapy injury on cells of skin and soft tissue
Lipi Shukla, Stuart A Lee, Mei R M Du, et al.
BMC Bioinformatics
|
May 23, 2006
Empirical array quality weights in the analysis of microarray data
Matthew E Ritchie, Dileepa Diyagama, Jody Neilson, et al.
Nucleic Acids Research
|
January 22, 2015
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E Ritchie, Belinda Phipson, Di Wu, et al.
Page
of 14
Search research articles
Search
Showing results (21-30 of 133) with videos related to
Sort By:
Page
of 14
BMC Bioinformatics
|
February 8, 2008
Statistical issues in the analysis of Illumina data
Mark J Dunning, Nuno L Barbosa-Morais, Andy G Lynch, et al.
Plos Computational Biology
|
October 25, 2021
NanoMethViz: An R/Bioconductor package for visualizing long-read methylation data
Shian Su, Quentin Gouil, Marnie E Blewitt, et al.
Bioinformatics (Oxford, England)
|
February 23, 2012
Allele-specific expression analysis methods for high-density SNP microarray data
Ruijie Liu, Ana-Teresa Maia, Roslin Russell, et al.
BMC Research Notes
|
August 20, 2008
Spike-in validation of an Illumina-specific variance-stabilizing transformation
Mark J Dunning, Matthew E Ritchie, Nuno L Barbosa-Morais, et al.
Data in Brief
|
June 28, 2022
Corrigendum to 'A transcriptomic dataset evaluating the effect of radiotherapy injury on cells of skin and soft tissue' Data in Brief 41 (2022) 107828
Lipi Shuka, Stuart A Lee, Mei R M Du, et al.
Bioinformatics (Oxford, England)
|
August 28, 2007
A comparison of background correction methods for two-colour microarrays
Matthew E Ritchie, Jeremy Silver, Alicia Oshlack, et al.
British Journal of Haematology
|
May 26, 2016
Loss of PUMA (BBC3) does not prevent thrombocytopenia caused by the loss of BCL-XL (BCL2L1)
Alex R D Delbridge, Stephane Chappaz, Matthew E Ritchie, et al.
Data in Brief
|
February 7, 2022
A transcriptomic dataset evaluating the effect of radiotherapy injury on cells of skin and soft tissue
Lipi Shukla, Stuart A Lee, Mei R M Du, et al.
BMC Bioinformatics
|
May 23, 2006
Empirical array quality weights in the analysis of microarray data
Matthew E Ritchie, Dileepa Diyagama, Jody Neilson, et al.
Nucleic Acids Research
|
January 22, 2015
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E Ritchie, Belinda Phipson, Di Wu, et al.
Page
of 14