Search results

• 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

• Identification of global regulators of T-helper cell lineage specification

  Kanduri, K. (Creator), Tripathi, S. (Creator), Larjo, A. (Creator), Mannerström, H. (Creator), Ullah, U. (Creator), Lund, R. (Creator), Hawkins, D. (Creator), Ren, B. (Creator), Lähdesmäki, H. (Creator) & Lahesmaa, R. (Creator), 1 Jan 2015

  DOI: 10.6084/m9.figshare.c.3642353.v1, https://figshare.com/collections/Identification_of_global_regulators_of_T-helper_cell_lineage_specification/3642353/1

  Dataset

• Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data

  Intosalmi, J. (Contributor), Ahlfors, H. (Contributor), Rautio, S. (Contributor), Mannerström, H. (Creator), Chen, Z. (Contributor), Lahesmaa, R. (Contributor), Stockinger, B. (Contributor) & Lähdesmäki, H. (Contributor), 1 Jan 2015

  DOI: 10.6084/m9.figshare.c.3612158.v1, https://figshare.com/collections/Analyzing_Th17_cell_differentiation_dynamics_using_a_novel_integrative_modeling_framework_for_time-course_RNA_sequencing_data/3612158/1

  Dataset

• Modeling binding specificities of transcription factor pairs with random forests

  Antikainen, A. A. (Creator), Heinonen, M. (Creator) & Lähdesmäki, H. (Creator), 2022

  DOI: 10.6084/m9.figshare.c.6031779.v1, https://springernature.figshare.com/collections/Modeling_binding_specificities_of_transcription_factor_pairs_with_random_forests/6031779/1 and 2 more links, https://doi.org/10.6084/m9.figshare.20003418.v1, https://doi.org/10.6084/m9.figshare.20003421.v1 (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), 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

• A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways

  Äijö, T. (Contributor), Huang, Y. (Contributor), Mannerström, H. (Contributor), Chavez, L. (Contributor), Tsagaratou, A. (Contributor), Rao, A. (Contributor) & Lähdesmäki, H. (Contributor), 1 Jan 2016

  DOI: 10.6084/m9.figshare.c.3604346.v1, https://figshare.com/collections/A_probabilistic_generative_model_for_quantification_of_DNA_modifications_enables_analysis_of_demethylation_pathways/3604346/1

  Dataset