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Valentina Boeva

Showing results (21-30 of 64) with videos related to

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Nucleic Acids Research|January 6, 2017
HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristicsHaitham Ashoor, Caroline Louis-Brennetot, Isabelle Janoueix-Lerosey, et al.
Genome Biology|January 18, 2020
CHROMATIX: computing the functional landscape of many-body chromatin interactions in transcriptionally active loci from deconvolved single cellsAlan Perez-Rathke, Qiu Sun, Boshen Wang, et al.
Briefings in Bioinformatics|October 1, 2025
SurvBoard: standardized benchmarking for multi-omics cancer survival modelsDavid Wissel, Nikita Janakarajan, Aayush Grover, et al.
Cancer Research|November 13, 2025
CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic DataFlorian Barkmann, Josephine Yates, Paweł Czyż, et al.
Nucleic Acids Research|April 9, 2010
De novo motif identification improves the accuracy of predicting transcription factor binding sites in ChIP-Seq data analysisValentina Boeva, Didier Surdez, Noëlle Guillon, et al.
Bioinformatics (Oxford, England)|September 12, 2013
HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq dataHaitham Ashoor, Aurélie Hérault, Aurélie Kamoun, et al.
Bioinformatics (Oxford, England)|November 18, 2010
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalizationValentina Boeva, Andrei Zinovyev, Kevin Bleakley, et al.
Scientific Data|October 31, 2018
Meta-mining of copy number profiles of high-risk neuroblastoma tumorsPauline Depuydt, Jan Koster, Valentina Boeva, et al.
NAR Genomics and Bioinformatics|June 19, 2023
scROSHI: robust supervised hierarchical identification of single cellsMichael Prummer, Anne Bertolini, Lars Bosshard, et al.
Genome Research|December 15, 2016
Comparative analyses of super-enhancers reveal conserved elements in vertebrate genomesYuvia A Pérez-Rico, Valentina Boeva, Allison C Mallory, et al.
Pageof 7

Showing results (21-30 of 64) with videos related to

Sort By:
Pageof 7
Nucleic Acids Research|January 6, 2017
HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristicsHaitham Ashoor, Caroline Louis-Brennetot, Isabelle Janoueix-Lerosey, et al.
Genome Biology|January 18, 2020
CHROMATIX: computing the functional landscape of many-body chromatin interactions in transcriptionally active loci from deconvolved single cellsAlan Perez-Rathke, Qiu Sun, Boshen Wang, et al.
Briefings in Bioinformatics|October 1, 2025
SurvBoard: standardized benchmarking for multi-omics cancer survival modelsDavid Wissel, Nikita Janakarajan, Aayush Grover, et al.
Cancer Research|November 13, 2025
CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic DataFlorian Barkmann, Josephine Yates, Paweł Czyż, et al.
Nucleic Acids Research|April 9, 2010
De novo motif identification improves the accuracy of predicting transcription factor binding sites in ChIP-Seq data analysisValentina Boeva, Didier Surdez, Noëlle Guillon, et al.
Bioinformatics (Oxford, England)|September 12, 2013
HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq dataHaitham Ashoor, Aurélie Hérault, Aurélie Kamoun, et al.
Bioinformatics (Oxford, England)|November 18, 2010
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalizationValentina Boeva, Andrei Zinovyev, Kevin Bleakley, et al.
Scientific Data|October 31, 2018
Meta-mining of copy number profiles of high-risk neuroblastoma tumorsPauline Depuydt, Jan Koster, Valentina Boeva, et al.
NAR Genomics and Bioinformatics|June 19, 2023
scROSHI: robust supervised hierarchical identification of single cellsMichael Prummer, Anne Bertolini, Lars Bosshard, et al.
Genome Research|December 15, 2016
Comparative analyses of super-enhancers reveal conserved elements in vertebrate genomesYuvia A Pérez-Rico, Valentina Boeva, Allison C Mallory, et al.
Pageof 7