Research output per year
Research output per year
Project Details
| Short title | SingleCell/Lähdesmäki |
|---|---|
| Status | Finished |
| Effective start/end date | 01/09/2017 → 31/08/2021 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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ChromDMM: a Dirichlet-multinomial mixture model for clustering heterogeneous epigenetic data
Osmala, M., Eraslan, G. & Lähdesmäki, H., 15 Aug 2022, In: Bioinformatics. 38, 16, p. 3863-3870 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Downloads (Pure) -
LuxRep: a technical replicate-aware method for bisulfite sequencing data analysis
Malonzo, M. H., Halla-aho, V., Konki, M., Lund, R. J. & Lähdesmäki, H., Dec 2022, In: BMC Bioinformatics. 23, 1, p. 1-19 19 p., 41.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile22 Downloads (Pure) -
Permutation-based significance analysis reduces the type 1 error rate in bisulfite sequencing data analysis of human umbilical cord blood samples
Laajala, E., Halla-aho, V., Grönroos, T., Kalim, U. U., Vähä-Mäkilä, M., Nurmio, M., Kallionpää, H., Lietzén, N., Mykkänen, J., Rasool, O., Toppari, J., Orešič, M., Knip, M., Lund, R., Lahesmaa, R. & Lähdesmäki, H., 2022, In: Epigenetics. 17, 12, p. 1608-1627 20 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure)
Datasets
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Permutation-based significance analysis reduces the type 1 error rate in bisulfite sequencing data analysis of human umbilical cord blood samples
Laajala, E. (Creator), Halla-aho, V. (Creator), Grönroos, T. (Creator), Kalim, U. U. (Creator), Vähä-Mäkilä, M. (Creator), Nurmio, M. (Creator), Kallionpää, H. (Creator), Lietzén, N. (Creator), Mykkänen, J. (Creator), Rasool, O. (Creator), Toppari, J. (Creator), University, M. (Creator), Knip, M. (Creator), Lund, R. (Creator), Lahesmaa, R. (Creator) & Lähdesmäki, H. (Creator), 2022
DOI: 10.6084/m9.figshare.19311109.v2, https://tandf.figshare.com/articles/dataset/Permutation-based_significance_analysis_reduces_the_type_1_error_rate_in_bisulfite_sequencing_data_analysis_of_human_umbilical_cord_blood_samples/19311109/1
Dataset
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Probabilistic modeling methods for cell-free DNA methylation based cancer classification
Halla-aho, V. (Contributor) & Lähdesmäki, H. (Contributor), 1 Jan 2022
DOI: 10.6084/m9.figshare.c.5931075.v1, https://springernature.figshare.com/collections/Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/5931075/1 and 4 more links, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518510/1, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518513/1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518516/1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518507/1 (show fewer)
Dataset