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Esa Pitkänen

Showing results (1-10 of 57) with videos related to

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Seminars in Hematology|July 16, 2023
Blood has never been thicker: Cell-free DNA fragmentomics in the liquid biopsy toolbox of B-cell lymphomasLeo Meriranta, Esa Pitkänen, Sirpa Leppä
BMC Systems Biology|October 31, 2009
Inferring branching pathways in genome-scale metabolic networksEsa Pitkänen, Paula Jouhten, Juho Rousu
Current Opinion in Biotechnology|February 23, 2010
Computational methods for metabolic reconstructionEsa Pitkänen, Juho Rousu, Esko Ukkonen
Frontiers in Genetics|July 25, 2022
Single-Cell Mononucleotide Microsatellite Analysis Reveals Differential Insertion-Deletion Dynamics in Mouse T CellsElli-Mari Aska, Bulat Zagidullin, Esa Pitkänen, et al.
Iscience|February 11, 2022
Spectral decoupling for training transferable neural networks in medical imagingJoona Pohjonen, Carolin Stürenberg, Antti Rannikko, et al.
Journal of Integrative Bioinformatics|February 6, 2010
ReMatch: a web-based tool to construct, store and share stoichiometric metabolic models with carbon maps for metabolic flux analysisEsa Pitkänen, Arto Akerlund, Ari Rantanen, et al.
BMC Proceedings|December 19, 2008
Towards structured output prediction of enzyme functionKatja Astikainen, Liisa Holm, Esa Pitkänen, et al.
BMC Genomics|May 17, 2018
Towards pan-genome read alignment to improve variation callingDaniel Valenzuela, Tuukka Norri, Niko Välimäki, et al.
Biorxiv : the Preprint Server for Biology|July 10, 2023
ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET imagesArina A Tagmazian, Claudia Schwarz, Catharina Lange, et al.
Biorxiv : the Preprint Server for Biology|February 12, 2026
petVAE: A Data-Driven Model for Identifying Amyloid PET Subgroups Across the Alzheimer's Disease ContinuumArina A Tagmazian, Claudia Schwarz, Catharina Lange, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Seminars in Hematology|July 16, 2023
Blood has never been thicker: Cell-free DNA fragmentomics in the liquid biopsy toolbox of B-cell lymphomasLeo Meriranta, Esa Pitkänen, Sirpa Leppä
BMC Systems Biology|October 31, 2009
Inferring branching pathways in genome-scale metabolic networksEsa Pitkänen, Paula Jouhten, Juho Rousu
Current Opinion in Biotechnology|February 23, 2010
Computational methods for metabolic reconstructionEsa Pitkänen, Juho Rousu, Esko Ukkonen
Frontiers in Genetics|July 25, 2022
Single-Cell Mononucleotide Microsatellite Analysis Reveals Differential Insertion-Deletion Dynamics in Mouse T CellsElli-Mari Aska, Bulat Zagidullin, Esa Pitkänen, et al.
Iscience|February 11, 2022
Spectral decoupling for training transferable neural networks in medical imagingJoona Pohjonen, Carolin Stürenberg, Antti Rannikko, et al.
Journal of Integrative Bioinformatics|February 6, 2010
ReMatch: a web-based tool to construct, store and share stoichiometric metabolic models with carbon maps for metabolic flux analysisEsa Pitkänen, Arto Akerlund, Ari Rantanen, et al.
BMC Proceedings|December 19, 2008
Towards structured output prediction of enzyme functionKatja Astikainen, Liisa Holm, Esa Pitkänen, et al.
BMC Genomics|May 17, 2018
Towards pan-genome read alignment to improve variation callingDaniel Valenzuela, Tuukka Norri, Niko Välimäki, et al.
Biorxiv : the Preprint Server for Biology|July 10, 2023
ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET imagesArina A Tagmazian, Claudia Schwarz, Catharina Lange, et al.
Biorxiv : the Preprint Server for Biology|February 12, 2026
petVAE: A Data-Driven Model for Identifying Amyloid PET Subgroups Across the Alzheimer's Disease ContinuumArina A Tagmazian, Claudia Schwarz, Catharina Lange, et al.
Pageof 6