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2020 – today
- 2023
[j28]Johannes Smolander, Sini Junttila, Laura L. Elo
:
Cell-connectivity-guided trajectory inference from single-cell data. Bioinform. 39(9) (2023)- [j27]Ning Wang, Sofia Khan, Laura L. Elo:
VarSCAT: A computational tool for sequence context annotations of genomic variants. PLoS Comput. Biol. 19(8) (2023) - 2022
- [j26]Ye Hong, Dani Flinkman, Tomi Suomi, Sami Pietilä, Peter James, Eleanor Coffey, Laura L. Elo:
PhosPiR: an automated phosphoproteomic pipeline in R. Briefings Bioinform. 23(1) (2022) - [j25]Maria K. Jaakkola, Laura L. Elo:
Estimating cell type-specific differential expression using deconvolution. Briefings Bioinform. 23(1) (2022) - [j24]Ye Hong, Dani Flinkman, Tomi Suomi, Sami Pietilä, Peter James, Eleanor Coffey, Laura L. Elo:
Correction to: PhosPiR: an automated phosphoproteomic pipeline in R. Briefings Bioinform. 23(3) (2022) - [j23]Sini Junttila, Johannes Smolander, Laura L. Elo:
Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data. Briefings Bioinform. 23(5) (2022) - [j22]Johannes Smolander, Sini Junttila, Mikko S. Venäläinen, Laura L. Elo:
scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq data. Bioinform. 38(5): 1328-1335 (2022) - [j21]Ning Wang, Vladislav Lysenkov, Katri Orte, Veli Kairisto, Juhani Aakko, Sofia Khan, Laura L. Elo:
Tool evaluation for the detection of variably sized indels from next generation whole genome and targeted sequencing data. PLoS Comput. Biol. 18(2) (2022) - 2021
- [j20]Johannes Smolander, Sini Junttila, Mikko S. Venäläinen, Laura L. Elo:
ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data. Bioinform. 37(8): 1107-1114 (2021) - [j19]Mehrad Mahmoudian, Mikko S. Venäläinen, Riku Klén, Laura L. Elo:
Stable Iterative Variable Selection. Bioinform. 37(24): 4810-4817 (2021) - [j18]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:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - 2020
- [j17]Arfa Mehmood, Asta Laiho, Mikko S. Venäläinen, Aidan J. McGlinchey, Ning Wang, Laura L. Elo:
Systematic evaluation of differential splicing tools for RNA-seq studies. Briefings Bioinform. 21(6): 2052-2065 (2020)
2010 – 2019
- 2018
- [j16]Tommi Välikangas, Tomi Suomi, Laura L. Elo:
A systematic evaluation of normalization methods in quantitative label-free proteomics. Briefings Bioinform. 19(1): 1-11 (2018) - [j15]Tommi Välikangas, Tomi Suomi, Laura L. Elo:
A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation. Briefings Bioinform. 19(6): 1344-1355 (2018) - [j14]Sohrab Saraei, Tomi Suomi, Otto Kauko, Laura L. Elo:
Phosphonormalizer: an R package for normalization of MS-based label-free phosphoproteomics. Bioinform. 34(4): 693-694 (2018) - [j13]Veronika Suni, Tomi Suomi, Tomoya Tsubosaka, Susumu Y. Imanishi, Laura L. Elo, Garry L. Corthals:
SimPhospho: a software tool enabling confident phosphosite assignment. Bioinform. 34(15): 2690-2692 (2018) - 2017
- [j12]Maria K. Jaakkola, Fatemeh Seyednasrollah, Arfa Mehmood, Laura L. Elo:
Comparison of methods to detect differentially expressed genes between single-cell populations. Briefings Bioinform. 18(5): 735-743 (2017) - [j11]Tomi Suomi, Fatemeh Seyednasrollah, Maria K. Jaakkola, Thomas Faux, Laura L. Elo:
ROTS: An R package for reproducibility-optimized statistical testing. PLoS Comput. Biol. 13(5) (2017) - 2016
- [j10]Maria K. Jaakkola, Laura L. Elo:
Empirical comparison of structure-based pathway methods. Briefings Bioinform. 17(2): 336-345 (2016) - [i2]Mehrad Mahmoudian, Fatemeh Seyednasrollah, Liisa Koivu, Outi Hirvonen, Sirkku Jyrkkiö, Laura L. Elo:
A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer. F1000Research 5: 2674 (2016) - 2015
- [j9]Fatemeh Seyednasrollah, Asta Laiho, Laura L. Elo:
Comparison of software packages for detecting differential expression in RNA-seq studies. Briefings Bioinform. 16(1): 59-70 (2015) - 2012
- [j8]Laura Elo, Benno Schwikowski:
Mining proteomic data for biomedical research. WIREs Data Mining Knowl. Discov. 2(1): 1-13 (2012) - [i1]Leo Lahti, Aurora Torrente, Laura Elo, Alvis Brazma, Johan Rung:
Fully scalable online-preprocessing algorithm for short oligonucleotide microarray atlases. CoRR abs/1212.5932 (2012) - 2011
- [j7]Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kaski:
Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 217-225 (2011)
2000 – 2009
- 2009
- [j6]Laura Elo, Jukka Hiissa, Jarno Tuimala, Aleksi Kallio, Eija Korpelainen, Tero Aittokallio:
Optimized detection of differential expression in global profiling experiments: case studies in clinical transcriptomic and quantitative proteomic datasets. Briefings Bioinform. 10(5): 547-555 (2009) - 2008
- [j5]Johannes Tuikkala, Laura Elo, Olli Nevalainen, Tero Aittokallio:
Missing value imputation improves clustering and interpretation of gene expression microarray data. BMC Bioinform. 9 (2008) - [j4]Laura Elo, Sanna Filen, Riitta Lahesmaa, Tero Aittokallio:
Reproducibility-Optimized Test Statistic for Ranking Genes in Microarray Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 5(3): 423-431 (2008) - 2007
- [j3]Laura Elo, Henna Järvenpää, Matej Oresic, Riitta Lahesmaa, Tero Aittokallio:
Systematic construction of gene coexpression networks with applications to human T helper cell differentiation process. Bioinform. 23(16): 2096-2103 (2007) - 2006
- [j2]Johannes Tuikkala, Laura Elo, Olli Nevalainen, Tero Aittokallio:
Improving missing value estimation in microarray data with gene ontology. Bioinform. 22(5): 566-572 (2006) - [j1]Laura Elo, Riitta Lahesmaa, Tero Aittokallio:
Inference of Gene Coexpression Networks by Integrative Analysis across Microarray Experiments. J. Integr. Bioinform. 3(2) (2006)
Coauthor Index
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