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Cancer Cell
|
December 12, 2018
From Basic Knowledge to Effective Therapies
Daniel B Lipka, Pavlo Lutsik, Christoph Plass
Nature
|
September 10, 2025
Epigenetic clues from cancer's past foretell its future
Pavlo Lutsik, Veselin Manojlovic, George S Vassiliou
BMC Bioinformatics
|
August 6, 2024
scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data
Yunhee Jeong, Jonathan Ronen, Wolfgang Kopp, et al.
Journal of Bioinformatics and Computational Biology
|
January 3, 2015
AKSmooth: enhancing low-coverage bisulfite sequencing data via kernel-based smoothing
Junfang Chen, Pavlo Lutsik, Ruslan Akulenko, et al.
Seminars in Cancer Biology
|
August 22, 2020
Epigenomic technologies for precision oncology
Dieter Weichenhan, Daniel B Lipka, Pavlo Lutsik, et al.
Genome Biology
|
December 2, 2024
EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data
Katherine Kelly, Michael Scherer, Martina Maria Braun, et al.
Nature Communications
|
January 17, 2025
MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model
Yunhee Jeong, Clarissa Gerhäuser, Guido Sauter, et al.
Bioinformatics (Oxford, England)
|
June 10, 2024
Figeno: multi-region genomic figures with long-read support
Etienne Sollier, Jessica Heilmann, Clarissa Gerhauser, et al.
Genome Biology
|
March 26, 2017
MeDeCom: discovery and quantification of latent components of heterogeneous methylomes
Pavlo Lutsik, Martin Slawski, Gilles Gasparoni, et al.
Nucleic Acids Research
|
May 14, 2011
BiQ Analyzer HT: locus-specific analysis of DNA methylation by high-throughput bisulfite sequencing
Pavlo Lutsik, Lars Feuerbach, Julia Arand, et al.
Page
of 7
Search research articles
Search
Showing results (1-10 of 65) with videos related to
Sort By:
Page
of 7
Cancer Cell
|
December 12, 2018
From Basic Knowledge to Effective Therapies
Daniel B Lipka, Pavlo Lutsik, Christoph Plass
Nature
|
September 10, 2025
Epigenetic clues from cancer's past foretell its future
Pavlo Lutsik, Veselin Manojlovic, George S Vassiliou
BMC Bioinformatics
|
August 6, 2024
scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data
Yunhee Jeong, Jonathan Ronen, Wolfgang Kopp, et al.
Journal of Bioinformatics and Computational Biology
|
January 3, 2015
AKSmooth: enhancing low-coverage bisulfite sequencing data via kernel-based smoothing
Junfang Chen, Pavlo Lutsik, Ruslan Akulenko, et al.
Seminars in Cancer Biology
|
August 22, 2020
Epigenomic technologies for precision oncology
Dieter Weichenhan, Daniel B Lipka, Pavlo Lutsik, et al.
Genome Biology
|
December 2, 2024
EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data
Katherine Kelly, Michael Scherer, Martina Maria Braun, et al.
Nature Communications
|
January 17, 2025
MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model
Yunhee Jeong, Clarissa Gerhäuser, Guido Sauter, et al.
Bioinformatics (Oxford, England)
|
June 10, 2024
Figeno: multi-region genomic figures with long-read support
Etienne Sollier, Jessica Heilmann, Clarissa Gerhauser, et al.
Genome Biology
|
March 26, 2017
MeDeCom: discovery and quantification of latent components of heterogeneous methylomes
Pavlo Lutsik, Martin Slawski, Gilles Gasparoni, et al.
Nucleic Acids Research
|
May 14, 2011
BiQ Analyzer HT: locus-specific analysis of DNA methylation by high-throughput bisulfite sequencing
Pavlo Lutsik, Lars Feuerbach, Julia Arand, et al.
Page
of 7