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Frontiers in Genetics
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February 26, 2021
Machine Learning Approaches Identify Genes Containing Spatial Information From Single-Cell Transcriptomics Data
Phillipe Loher, Nestoras Karathanasis
Cancers
|
January 25, 2025
Predicting the Progression from Asymptomatic to Symptomatic Multiple Myeloma and Stage Classification Using Gene Expression Data
Nestoras Karathanasis, George M Spyrou
Methods in Molecular Biology (Clifton, N.J.)
|
October 9, 2010
Computational identification of miRNAs involved in cancer
Anastasis Oulas, Nestoras Karathanasis, Panayiota Poirazi
Plos One
|
November 5, 2016
omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data
Nestoras Karathanasis, Ioannis Tsamardinos, Vincenzo Lagani
Plos One
|
May 12, 2015
MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology
Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
Bioinformatics (Oxford, England)
|
March 13, 2014
Don't use a cannon to kill the ... miRNA mosquito
Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
Molecular Biotechnology
|
May 25, 2011
Finding cancer-associated miRNAs: methods and tools
Anastasis Oulas, Nestoras Karathanasis, Annita Louloupi, et al.
Plos Computational Biology
|
April 18, 2024
Ranking of cell clusters in a single-cell RNA-sequencing analysis framework using prior knowledge
Anastasis Oulas, Kyriaki Savva, Nestoras Karathanasis, et al.
Computer Methods and Programs in Biomedicine
|
September 24, 2024
Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach
Nestoras Karathanasis, Panayiota L Papasavva, Anastasis Oulas, et al.
RNA Biology
|
September 8, 2012
A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2
Anastasis Oulas, Nestoras Karathanasis, Annita Louloupi, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
Frontiers in Genetics
|
February 26, 2021
Machine Learning Approaches Identify Genes Containing Spatial Information From Single-Cell Transcriptomics Data
Phillipe Loher, Nestoras Karathanasis
Cancers
|
January 25, 2025
Predicting the Progression from Asymptomatic to Symptomatic Multiple Myeloma and Stage Classification Using Gene Expression Data
Nestoras Karathanasis, George M Spyrou
Methods in Molecular Biology (Clifton, N.J.)
|
October 9, 2010
Computational identification of miRNAs involved in cancer
Anastasis Oulas, Nestoras Karathanasis, Panayiota Poirazi
Plos One
|
November 5, 2016
omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data
Nestoras Karathanasis, Ioannis Tsamardinos, Vincenzo Lagani
Plos One
|
May 12, 2015
MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology
Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
Bioinformatics (Oxford, England)
|
March 13, 2014
Don't use a cannon to kill the ... miRNA mosquito
Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
Molecular Biotechnology
|
May 25, 2011
Finding cancer-associated miRNAs: methods and tools
Anastasis Oulas, Nestoras Karathanasis, Annita Louloupi, et al.
Plos Computational Biology
|
April 18, 2024
Ranking of cell clusters in a single-cell RNA-sequencing analysis framework using prior knowledge
Anastasis Oulas, Kyriaki Savva, Nestoras Karathanasis, et al.
Computer Methods and Programs in Biomedicine
|
September 24, 2024
Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach
Nestoras Karathanasis, Panayiota L Papasavva, Anastasis Oulas, et al.
RNA Biology
|
September 8, 2012
A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2
Anastasis Oulas, Nestoras Karathanasis, Annita Louloupi, et al.
Page
of 3