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Laura L Elo

Showing results (21-30 of 185) with videos related to

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Bioinformatics (Oxford, England)|May 24, 2026
Clarifying the scope and capabilities of ROTS in differential expression analysisTomi Suomi, Jalmari Kettunen, Taneli Pusa, et al.
Briefings in Functional Genomics|February 9, 2022
Deep learning tools are top performers in long non-coding RNA predictionTea Ammunét, Ning Wang, Sofia Khan, et al.
Biology Open|March 3, 2022
Dirichlet process mixture models for single-cell RNA-seq clusteringNigatu A Adossa, Kalle T Rytkönen, Laura L Elo
Genome Biology|July 18, 2009
Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studiesEssi Laajala, Tero Aittokallio, Riitta Lahesmaa, et al.
Nucleic Acids Research|August 13, 2015
ROTS: reproducible RNA-seq biomarker detector-prognostic markers for clear cell renal cell cancerFatemeh Seyednasrollah, Krista Rantanen, Panu Jaakkola, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 2, 2008
Reproducibility-optimized test statistic for ranking genes in microarray studiesLaura L Elo, Sanna Filen, Riitta Lahesmaa, et al.
Computational and Structural Biotechnology Journal|September 23, 2022
Computational solutions for spatial transcriptomicsIivari Kleino, Paulina Frolovaitė, Tomi Suomi, et al.
The Journal of Clinical Investigation|January 3, 2020
Integrative omics approaches provide biological and clinical insights: examples from mitochondrial diseasesSofia Khan, Gulayse Ince-Dunn, Anu Suomalainen, et al.
BMC Bioinformatics|April 22, 2008
Missing value imputation improves clustering and interpretation of gene expression microarray dataJohannes Tuikkala, Laura L Elo, Olli S Nevalainen, et al.
Bioinformatics (Oxford, England)|December 10, 2021
scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq dataJohannes Smolander, Sini Junttila, Mikko S Venäläinen, et al.
Pageof 19

Showing results (21-30 of 185) with videos related to

Sort By:
Pageof 19
Bioinformatics (Oxford, England)|May 24, 2026
Clarifying the scope and capabilities of ROTS in differential expression analysisTomi Suomi, Jalmari Kettunen, Taneli Pusa, et al.
Briefings in Functional Genomics|February 9, 2022
Deep learning tools are top performers in long non-coding RNA predictionTea Ammunét, Ning Wang, Sofia Khan, et al.
Biology Open|March 3, 2022
Dirichlet process mixture models for single-cell RNA-seq clusteringNigatu A Adossa, Kalle T Rytkönen, Laura L Elo
Genome Biology|July 18, 2009
Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studiesEssi Laajala, Tero Aittokallio, Riitta Lahesmaa, et al.
Nucleic Acids Research|August 13, 2015
ROTS: reproducible RNA-seq biomarker detector-prognostic markers for clear cell renal cell cancerFatemeh Seyednasrollah, Krista Rantanen, Panu Jaakkola, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 2, 2008
Reproducibility-optimized test statistic for ranking genes in microarray studiesLaura L Elo, Sanna Filen, Riitta Lahesmaa, et al.
Computational and Structural Biotechnology Journal|September 23, 2022
Computational solutions for spatial transcriptomicsIivari Kleino, Paulina Frolovaitė, Tomi Suomi, et al.
The Journal of Clinical Investigation|January 3, 2020
Integrative omics approaches provide biological and clinical insights: examples from mitochondrial diseasesSofia Khan, Gulayse Ince-Dunn, Anu Suomalainen, et al.
BMC Bioinformatics|April 22, 2008
Missing value imputation improves clustering and interpretation of gene expression microarray dataJohannes Tuikkala, Laura L Elo, Olli S Nevalainen, et al.
Bioinformatics (Oxford, England)|December 10, 2021
scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq dataJohannes Smolander, Sini Junttila, Mikko S Venäläinen, et al.
Pageof 19