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Rebecka Jörnsten

Showing results (1-10 of 34) with videos related to

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Biostatistics (Oxford, England)|February 8, 2008
Mixture models with multiple levels, with application to the analysis of multifactor gene expression dataRebecka Jörnsten, Sündüz Keleş
Bioinformatics (Oxford, England)|June 13, 2003
Simultaneous gene clustering and subset selection for sample classification via MDLRebecka Jörnsten, Bin Yu
BMC Bioinformatics|March 31, 2007
A meta-data based method for DNA microarray imputationRebecka Jörnsten, Ming Ouyang, Hui-Yu Wang
Physiological Genomics|February 19, 2004
Screening anti-inflammatory compounds in injured spinal cord with microarrays: a comparison of bioinformatics analysis approachesJonathan Z Pan, Rebecka Jörnsten, Ronald P Hart
Biostatistics (Oxford, England)|June 16, 2012
Transcriptional and metabolic data integration and modeling for identification of active pathwaysAlexandra Jauhiainen, Olle Nerman, George Michailidis, et al.
Cancer Medicine|March 25, 2020
Molecular natural history of breast cancer: Leveraging transcriptomics to predict breast cancer progression and aggressivenessDaniel J Cook, Jonatan Kallus, Rebecka Jörnsten, et al.
Briefings in Bioinformatics|August 17, 2023
NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signaturesDavid Martínez-Enguita, Sanjiv K Dwivedi, Rebecka Jörnsten, et al.
Bioinformatics (Oxford, England)|August 25, 2005
DNA microarray data imputation and significance analysis of differential expressionRebecka Jörnsten, Hui-Yu Wang, William J Welsh, et al.
Advances in Experimental Medicine and Biology|December 14, 2011
System-scale network modeling of cancer using EPoCTobias Abenius, Rebecka Jörnsten, Teresia Kling, et al.
Plos One|August 13, 2013
Searching for synergies: matrix algebraic approaches for efficient pair screeningPhilip Gerlee, Linnéa Schmidt, Naser Monsefi, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Biostatistics (Oxford, England)|February 8, 2008
Mixture models with multiple levels, with application to the analysis of multifactor gene expression dataRebecka Jörnsten, Sündüz Keleş
Bioinformatics (Oxford, England)|June 13, 2003
Simultaneous gene clustering and subset selection for sample classification via MDLRebecka Jörnsten, Bin Yu
BMC Bioinformatics|March 31, 2007
A meta-data based method for DNA microarray imputationRebecka Jörnsten, Ming Ouyang, Hui-Yu Wang
Physiological Genomics|February 19, 2004
Screening anti-inflammatory compounds in injured spinal cord with microarrays: a comparison of bioinformatics analysis approachesJonathan Z Pan, Rebecka Jörnsten, Ronald P Hart
Biostatistics (Oxford, England)|June 16, 2012
Transcriptional and metabolic data integration and modeling for identification of active pathwaysAlexandra Jauhiainen, Olle Nerman, George Michailidis, et al.
Cancer Medicine|March 25, 2020
Molecular natural history of breast cancer: Leveraging transcriptomics to predict breast cancer progression and aggressivenessDaniel J Cook, Jonatan Kallus, Rebecka Jörnsten, et al.
Briefings in Bioinformatics|August 17, 2023
NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signaturesDavid Martínez-Enguita, Sanjiv K Dwivedi, Rebecka Jörnsten, et al.
Bioinformatics (Oxford, England)|August 25, 2005
DNA microarray data imputation and significance analysis of differential expressionRebecka Jörnsten, Hui-Yu Wang, William J Welsh, et al.
Advances in Experimental Medicine and Biology|December 14, 2011
System-scale network modeling of cancer using EPoCTobias Abenius, Rebecka Jörnsten, Teresia Kling, et al.
Plos One|August 13, 2013
Searching for synergies: matrix algebraic approaches for efficient pair screeningPhilip Gerlee, Linnéa Schmidt, Naser Monsefi, et al.
Pageof 4