Laura Elo

According to our database, Laura Elo authored at least 30 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cell-connectivity-guided trajectory inference from single-cell data.

Johannes Smolander, Sini Junttila, Laura L. Elo

Bioinform., September, 2023

VarSCAT: A computational tool for sequence context annotations of genomic variants.

Ning Wang, Sofia Khan, Laura L. Elo

PLoS Comput. Biol., 2023

2022

Tool evaluation for the detection of variably sized indels from next generation whole genome and targeted sequencing data.

Ning Wang, Vladislav Lysenkov, Katri Orte, Veli Kairisto, Juhani Aakko, Sofia Khan, Laura L. Elo

PLoS Comput. Biol., 2022

scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq data.

Johannes Smolander, Sini Junttila, Mikko S. Venäläinen, Laura L. Elo

Bioinform., 2022

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

Sini Junttila, Johannes Smolander, Laura L. Elo

Briefings Bioinform., 2022

Estimating cell type-specific differential expression using deconvolution.

Maria K. Jaakkola, Laura L. Elo

Briefings Bioinform., 2022

Correction to: PhosPiR: an automated phosphoproteomic pipeline in R.

Ye Hong, Dani Flinkman, Tomi Suomi, Sami Pietilä, Peter James, Eleanor Coffey, Laura L. Elo

Briefings Bioinform., 2022

PhosPiR: an automated phosphoproteomic pipeline in R.

Ye Hong, Dani Flinkman, Tomi Suomi, Sami Pietilä, Peter James, Eleanor Coffey, Laura L. Elo

Briefings Bioinform., 2022

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data.

Johannes Smolander, Sini Junttila, Mikko S. Venäläinen, Laura L. Elo

Bioinform., 2021

Stable Iterative Variable Selection.

Mehrad Mahmoudian, Mikko S. Venäläinen, Riku Klén, Laura L. Elo

Bioinform., 2021

2020

Systematic evaluation of differential splicing tools for RNA-seq studies.

Arfa Mehmood, Asta Laiho, Mikko S. Venäläinen, Aidan J. McGlinchey, Ning Wang, Laura L. Elo

Briefings Bioinform., 2020

2018

SimPhospho: a software tool enabling confident phosphosite assignment.

Veronika Suni, Tomi Suomi, Tomoya Tsubosaka, Susumu Y. Imanishi, Laura L. Elo, Garry L. Corthals

Bioinform., 2018

Phosphonormalizer: an R package for normalization of MS-based label-free phosphoproteomics.

Sohrab Saraei, Tomi Suomi, Otto Kauko, Laura L. Elo

Bioinform., 2018

A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation.

Tommi Välikangas, Tomi Suomi, Laura L. Elo

Briefings Bioinform., 2018

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

Tommi Välikangas, Tomi Suomi, Laura L. Elo

Briefings Bioinform., 2018

2017

ROTS: An R package for reproducibility-optimized statistical testing.

Tomi Suomi, Fatemeh Seyednasrollah, Maria K. Jaakkola, Thomas Faux, Laura L. Elo

PLoS Comput. Biol., 2017

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

Maria K. Jaakkola, Fatemeh Seyednasrollah, Arfa Mehmood, Laura L. Elo

Briefings Bioinform., 2017

2016

A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer.

Mehrad Mahmoudian, Fatemeh Seyednasrollah, Liisa Koivu, Outi Hirvonen, Sirkku Jyrkkiö, Laura L. Elo

F1000Research, 2016

Empirical comparison of structure-based pathway methods.

Maria K. Jaakkola, Laura L. Elo

Briefings Bioinform., 2016

2015

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

Fatemeh Seyednasrollah, Asta Laiho, Laura L. Elo

Briefings Bioinform., 2015

2012

Mining proteomic data for biomedical research.

Laura Elo, Benno Schwikowski

WIREs Data Mining Knowl. Discov., 2012

Fully scalable online-preprocessing algorithm for short oligonucleotide microarray atlases

Leo Lahti, Aurora Torrente, Laura Elo, Alvis Brazma, Johan Rung

CoRR, 2012

2011

Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays.

Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kaski

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2009

Optimized detection of differential expression in global profiling experiments: case studies in clinical transcriptomic and quantitative proteomic datasets.

Laura Elo, Jukka Hiissa, Jarno Tuimala, Aleksi Kallio, Eija Korpelainen, Tero Aittokallio

Briefings Bioinform., 2009

2008

Reproducibility-Optimized Test Statistic for Ranking Genes in Microarray Studies.

Laura Elo, Sanna Filen, Riitta Lahesmaa, Tero Aittokallio

IEEE ACM Trans. Comput. Biol. Bioinform., 2008

Missing value imputation improves clustering and interpretation of gene expression microarray data.

Johannes Tuikkala, Laura Elo, Olli Nevalainen, Tero Aittokallio

BMC Bioinform., 2008

2007

Systematic construction of gene coexpression networks with applications to human T helper cell differentiation process.

Laura Elo, Henna Järvenpää, Matej Oresic, Riitta Lahesmaa, Tero Aittokallio

Bioinform., 2007

2006

Inference of Gene Coexpression Networks by Integrative Analysis across Microarray Experiments.

Laura Elo, Riitta Lahesmaa, Tero Aittokallio

J. Integr. Bioinform., 2006

Improving missing value estimation in microarray data with gene ontology.

Johannes Tuikkala, Laura Elo, Olli Nevalainen, Tero Aittokallio

Bioinform., 2006