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Laura L Elo

Showing results (1-10 of 184) with videos related to

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Plos One|December 27, 2014
A note on an exon-based strategy to identify differentially expressed genes in RNA-seq experimentsAsta Laiho, Laura L Elo
Methods in Molecular Biology (Clifton, N.J.)|November 11, 2016
Accurate Detection of Differential Expression and Splicing Using Low-Level FeaturesTomi Suomi, Laura L Elo
Immunology Letters|April 5, 2022
Statistical and machine learning methods to study human CD4<sup>+</sup> T cell proteome profilesTomi Suomi, Laura L Elo
Plos One|December 19, 2013
Analysis of time-resolved gene expression measurements across individualsLaura L Elo, Benno Schwikowski
Scientific Reports|July 21, 2017
Enhanced differential expression statistics for data-independent acquisition proteomicsTomi Suomi, Laura L Elo
Methods in Molecular Biology (Clifton, N.J.)|July 23, 2013
Optimizing detection of transcription factor-binding sites in ChIP-seq experimentsAleksi Kallio, Laura L Elo
Briefings in Bioinformatics|October 15, 2021
Estimating cell type-specific differential expression using deconvolutionMaria K Jaakkola, Laura L Elo
NAR Genomics and Bioinformatics|February 12, 2021
Computational deconvolution to estimate cell type-specific gene expression from bulk dataMaria K Jaakkola, Laura L Elo
Briefings in Bioinformatics|July 23, 2015
Empirical comparison of structure-based pathway methodsMaria K Jaakkola, Laura L Elo
Briefings in Bioinformatics|June 3, 2017
A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputationTommi Välikangas, Tomi Suomi, Laura L Elo
Pageof 19

Showing results (1-10 of 184) with videos related to

Sort By:
Pageof 19
Plos One|December 27, 2014
A note on an exon-based strategy to identify differentially expressed genes in RNA-seq experimentsAsta Laiho, Laura L Elo
Methods in Molecular Biology (Clifton, N.J.)|November 11, 2016
Accurate Detection of Differential Expression and Splicing Using Low-Level FeaturesTomi Suomi, Laura L Elo
Immunology Letters|April 5, 2022
Statistical and machine learning methods to study human CD4<sup>+</sup> T cell proteome profilesTomi Suomi, Laura L Elo
Plos One|December 19, 2013
Analysis of time-resolved gene expression measurements across individualsLaura L Elo, Benno Schwikowski
Scientific Reports|July 21, 2017
Enhanced differential expression statistics for data-independent acquisition proteomicsTomi Suomi, Laura L Elo
Methods in Molecular Biology (Clifton, N.J.)|July 23, 2013
Optimizing detection of transcription factor-binding sites in ChIP-seq experimentsAleksi Kallio, Laura L Elo
Briefings in Bioinformatics|October 15, 2021
Estimating cell type-specific differential expression using deconvolutionMaria K Jaakkola, Laura L Elo
NAR Genomics and Bioinformatics|February 12, 2021
Computational deconvolution to estimate cell type-specific gene expression from bulk dataMaria K Jaakkola, Laura L Elo
Briefings in Bioinformatics|July 23, 2015
Empirical comparison of structure-based pathway methodsMaria K Jaakkola, Laura L Elo
Briefings in Bioinformatics|June 3, 2017
A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputationTommi Välikangas, Tomi Suomi, Laura L Elo
Pageof 19