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Laura L Elo

Showing results (11-20 of 185) with videos related to

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Briefings in Bioinformatics|December 5, 2013
Comparison of software packages for detecting differential expression in RNA-seq studiesFatemeh Seyednasrollah, Asta Laiho, Laura L Elo
RNA Biology|February 1, 2021
Exon-level estimates improve the detection of differentially expressed genes in RNA-seq studiesArfa Mehmood, Asta Laiho, Laura L Elo
Briefings in Bioinformatics|October 4, 2016
A systematic evaluation of normalization methods in quantitative label-free proteomicsTommi Välikangas, Tomi Suomi, Laura L Elo
Briefings in Bioinformatics|July 26, 2022
Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq dataSini Junttila, Johannes Smolander, Laura L Elo
Plos Computational Biology|August 11, 2023
VarSCAT: A computational tool for sequence context annotations of genomic variantsNing Wang, Sofia Khan, Laura L Elo
ISME Communications|November 8, 2023
Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samplesSami Pietilä, Tomi Suomi, Laura L Elo
Bioinformatics (Oxford, England)|August 25, 2023
Cell-connectivity-guided trajectory inference from single-cell dataJohannes Smolander, Sini Junttila, Laura L Elo
Scientific Reports|January 25, 2020
Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal dataRiku Klén, Markku Karhunen, Laura L Elo
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 13, 2010
Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arraysLeo Lahti, Laura L Elo, Tero Aittokallio, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 3, 2018
A Data Analysis Protocol for Quantitative Data-Independent Acquisition ProteomicsSami Pietilä, Tomi Suomi, Juhani Aakko, et al.
Pageof 19

Showing results (11-20 of 185) with videos related to

Sort By:
Pageof 19
Briefings in Bioinformatics|December 5, 2013
Comparison of software packages for detecting differential expression in RNA-seq studiesFatemeh Seyednasrollah, Asta Laiho, Laura L Elo
RNA Biology|February 1, 2021
Exon-level estimates improve the detection of differentially expressed genes in RNA-seq studiesArfa Mehmood, Asta Laiho, Laura L Elo
Briefings in Bioinformatics|October 4, 2016
A systematic evaluation of normalization methods in quantitative label-free proteomicsTommi Välikangas, Tomi Suomi, Laura L Elo
Briefings in Bioinformatics|July 26, 2022
Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq dataSini Junttila, Johannes Smolander, Laura L Elo
Plos Computational Biology|August 11, 2023
VarSCAT: A computational tool for sequence context annotations of genomic variantsNing Wang, Sofia Khan, Laura L Elo
ISME Communications|November 8, 2023
Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samplesSami Pietilä, Tomi Suomi, Laura L Elo
Bioinformatics (Oxford, England)|August 25, 2023
Cell-connectivity-guided trajectory inference from single-cell dataJohannes Smolander, Sini Junttila, Laura L Elo
Scientific Reports|January 25, 2020
Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal dataRiku Klén, Markku Karhunen, Laura L Elo
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 13, 2010
Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arraysLeo Lahti, Laura L Elo, Tero Aittokallio, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 3, 2018
A Data Analysis Protocol for Quantitative Data-Independent Acquisition ProteomicsSami Pietilä, Tomi Suomi, Juhani Aakko, et al.
Pageof 19