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Ivan G Costa

Showing results (21-30 of 119) with videos related to

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Bioinformatics (Oxford, England)|May 6, 2025
scACCorDiON: a clustering approach for explainable patient level cell-cell communication graph analysisJames S Nagai, Tiago Maié, Michael T Schaub, et al.
BMC Bioinformatics|April 19, 2015
Impact of missing data imputation methods on gene expression clustering and classificationMarcilio C P de Souto, Pablo A Jaskowiak, Ivan G Costa
Methods (San Diego, Calif.)|August 6, 2017
Clustering of RNA-Seq samples: Comparison study on cancer dataPablo Andretta Jaskowiak, Ivan G Costa, Ricardo J G B Campello
BMC Bioinformatics|February 26, 2014
On the selection of appropriate distances for gene expression data clusteringPablo A Jaskowiak, Ricardo J G B Campello, Ivan G Costa
NPJ Systems Biology and Applications|August 7, 2023
Extending the landscape of omics technologies by pathomicsRoman D Bülow, David L Hölscher, Ivan G Costa, et al.
BMC Biology|November 25, 2020
Deconvolution of cellular subsets in human tissue based on targeted DNA methylation analysis at individual CpG sitesMarco Schmidt, Tiago Maié, Edgar Dahl, et al.
Bioinformatics Advances|January 26, 2023
scMEGA: single-cell multi-omic enhancer-based gene regulatory network inferenceZhijian Li, James S Nagai, Christoph Kuppe, et al.
Nucleic Acids Research|August 4, 2016
Differential peak calling of ChIP-seq signals with replicates with THORManuel Allhoff, Kristin Seré, Juliana F Pires, et al.
Bioinformatics (Oxford, England)|November 6, 2014
Detecting differential peaks in ChIP-seq signals with ODINManuel Allhoff, Kristin Seré, Heike Chauvistré, et al.
Bioinformatics (Oxford, England)|February 13, 2015
Detecting differential peaks in ChIP-seq signals with ODINManuel Allhoff, Kristin Seré, Heike Chauvistré, et al.
Pageof 12

Showing results (21-30 of 119) with videos related to

Sort By:
Pageof 12
Bioinformatics (Oxford, England)|May 6, 2025
scACCorDiON: a clustering approach for explainable patient level cell-cell communication graph analysisJames S Nagai, Tiago Maié, Michael T Schaub, et al.
BMC Bioinformatics|April 19, 2015
Impact of missing data imputation methods on gene expression clustering and classificationMarcilio C P de Souto, Pablo A Jaskowiak, Ivan G Costa
Methods (San Diego, Calif.)|August 6, 2017
Clustering of RNA-Seq samples: Comparison study on cancer dataPablo Andretta Jaskowiak, Ivan G Costa, Ricardo J G B Campello
BMC Bioinformatics|February 26, 2014
On the selection of appropriate distances for gene expression data clusteringPablo A Jaskowiak, Ricardo J G B Campello, Ivan G Costa
NPJ Systems Biology and Applications|August 7, 2023
Extending the landscape of omics technologies by pathomicsRoman D Bülow, David L Hölscher, Ivan G Costa, et al.
BMC Biology|November 25, 2020
Deconvolution of cellular subsets in human tissue based on targeted DNA methylation analysis at individual CpG sitesMarco Schmidt, Tiago Maié, Edgar Dahl, et al.
Bioinformatics Advances|January 26, 2023
scMEGA: single-cell multi-omic enhancer-based gene regulatory network inferenceZhijian Li, James S Nagai, Christoph Kuppe, et al.
Nucleic Acids Research|August 4, 2016
Differential peak calling of ChIP-seq signals with replicates with THORManuel Allhoff, Kristin Seré, Juliana F Pires, et al.
Bioinformatics (Oxford, England)|November 6, 2014
Detecting differential peaks in ChIP-seq signals with ODINManuel Allhoff, Kristin Seré, Heike Chauvistré, et al.
Bioinformatics (Oxford, England)|February 13, 2015
Detecting differential peaks in ChIP-seq signals with ODINManuel Allhoff, Kristin Seré, Heike Chauvistré, et al.
Pageof 12