Elo, Laura L.

A survey of best practices for RNA-seq data analysis

Conesa, A., Madrigal, P., Tarazona, S., Gomez-Cabrero, D., Cervera, A., McPherson, A., Szcześniak, M. W., Gaffney, D. J., Elo, L. L., Zhang, X., et al. (2016) · Genome Biology

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 2,794

Comparison of software packages for detecting differential expression in RNA-seq studies

Seyednasrollah, F., Laiho, A., & Elo, L. L. (2015) · Briefings in Bioinformatics

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 421

A systematic evaluation of normalization methods in quantitative label-free proteomics

Välikangas, T., Suomi, T., & Elo, L. L. (2016) · Briefings in Bioinformatics

Advanced Proteomics Techniques and ApplicationsGene expression and cancer classification

Cited by 336

Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women

Munukka, E., Ahtiainen, J. P., Puigbó, P., Jalkanen, S., Pahkala, K., Keskitalo, A., Kujala, U. M., Pietilä, S., Hollmén, M., Elo, L., et al. (2018) · Frontiers in Microbiology

Gut microbiota and healthOral microbiology and periodontitis research

Cited by 237

Gut microbiota composition is associated with temperament traits in infants

Aatsinki, A.-K., Lahti, L., Uusitupa, H.-M., Munukka, E., Keskitalo, A., Nolvi, S., O'Mahony, S., Pietilä, S., Elo, L. L., Eerola, E., et al. (2019) · Brain Behavior and Immunity

Gut microbiota and healthInfant Nutrition and Health

Cited by 148

Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data

Junttila, S., Smolander, J., & Elo, L. L. (2022) · Briefings in Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 109

Comparison of methods to detect differentially expressed genes between single-cell populations

Jaakkola, M. K., Seyednasrollah, F., Mehmood, A., & Elo, L. L. (2016) · Briefings in Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 86

ROTS: reproducible RNA-seq biomarker detector—prognostic markers for clear cell renal cell cancer

Seyednasrollah, F., Rantanen, K., Jaakkola, P., & Elo, L. L. (2016) · Nucleic Acids Research

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 75

CIP2A interacts with TopBP1 and is selectively essential for DNA damage-induced basal-like breast cancer tumorigenesis

Laine, A., Nagelli, S. G., Farrington, C., Butt, U., Cvrljevic, A. N., Vainonen, J. P., Feringa, F. M., Grönroos, T. J., Gautam, P., Khan, S., et al. (2020) · Cancer Research

DNA Repair MechanismsBreast Cancer Treatment Studies

Cited by 54

Histone deacetylases 1 and 2 restrain CD4+ cytotoxic T lymphocyte differentiation

Preglej, T., Hamminger, P., Luu, M., Bulat, T., Andersen, L., Göschl, L., Stolz, V., Rica, R., Sandner, L., Waltenberger, D., et al. (2020) · JCI Insight

T-cell and B-cell ImmunologyHistone Deacetylase Inhibitors Research

Cited by 36

Discovery of a Novel CIP2A Variant (NOCIVA) with Clinical Relevance in Predicting TKI Resistance in Myeloid Leukemias

Mäkelä, E., Pavic, K., Varila, T., Salmenniemi, U., Löyttyniemi, E., Nagelli, S. G., Ammunét, T., Kähäri, V.-M., Clark, R. E., Elo, L. L., et al. (2021) · Clinical Cancer Research

Chronic Myeloid Leukemia TreatmentsRNA Research and Splicing

Cited by 18