Research output per year
Research output per year
Project Details
| Acronym | Heal-Art jatko |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2021 → 31/12/2022 |
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):
Fingerprint
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.
-
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 AccessFile77 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 AccessFile3 Citations (Scopus)54 Downloads (Pure) -
Probabilistic modeling methods for cell-free DNA methylation based cancer classification
Halla-aho, V. & Lähdesmäki, H., 4 Apr 2022, In: BMC Bioinformatics. 23, 1, 24 p., 119.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)85 Downloads (Pure)
Datasets
-
Probabilistic modeling methods for cell-free DNA methylation based cancer classification
Halla-aho, V. (Creator) & Lähdesmäki, H. (Contributor), figshare, 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
-
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), figshare, 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