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Oana Ursu

Showing results (1-10 of 11) with videos related to

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Integrative Biology : Quantitative Biosciences From Nano to Macro|October 13, 2012
SAMNet: a network-based approach to integrate multi-dimensional high throughput datasetsSara J C Gosline, Sarah J Spencer, Oana Ursu, et al.
The Annals of Applied Statistics|September 24, 2020
NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATAY X Rachel Wang, Purnamrita Sarkar, Oana Ursu, et al.
Bioinformatics (Oxford, England)|March 20, 2018
GenomeDISCO: a concordance score for chromosome conformation capture experiments using random walks on contact map graphsOana Ursu, Nathan Boley, Maryna Taranova, et al.
Plos One|October 13, 2017
Network modeling of kinase inhibitor polypharmacology reveals pathways targeted in chemical screensOana Ursu, Sara J C Gosline, Neil Beeharry, et al.
Molecular Cell|April 7, 2023
Structural and functional properties of mSWI/SNF chromatin remodeling complexes revealed through single-cell perturbation screensJordan E Otto, Oana Ursu, Alexander P Wu, et al.
Nature Communications|May 6, 2017
Genome-scale measurement of off-target activity using Cas9 toxicity in high-throughput screensDavid W Morgens, Michael Wainberg, Evan A Boyle, et al.
Cell|August 25, 2015
Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal InteractionsFabian Grubert, Judith B Zaugg, Maya Kasowski, et al.
Genome Biology|March 21, 2019
Measuring the reproducibility and quality of Hi-C dataGalip Gürkan Yardımcı, Hakan Ozadam, Michael E G Sauria, et al.
Nature Biotechnology|January 21, 2022
Massively parallel phenotyping of coding variants in cancer with Perturb-seqOana Ursu, James T Neal, Emily Shea, et al.
Nature Biotechnology|October 18, 2022
Author Correction: Massively parallel phenotyping of coding variants in cancer with Perturb-seqOana Ursu, James T Neal, Emily Shea, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Integrative Biology : Quantitative Biosciences From Nano to Macro|October 13, 2012
SAMNet: a network-based approach to integrate multi-dimensional high throughput datasetsSara J C Gosline, Sarah J Spencer, Oana Ursu, et al.
The Annals of Applied Statistics|September 24, 2020
NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATAY X Rachel Wang, Purnamrita Sarkar, Oana Ursu, et al.
Bioinformatics (Oxford, England)|March 20, 2018
GenomeDISCO: a concordance score for chromosome conformation capture experiments using random walks on contact map graphsOana Ursu, Nathan Boley, Maryna Taranova, et al.
Plos One|October 13, 2017
Network modeling of kinase inhibitor polypharmacology reveals pathways targeted in chemical screensOana Ursu, Sara J C Gosline, Neil Beeharry, et al.
Molecular Cell|April 7, 2023
Structural and functional properties of mSWI/SNF chromatin remodeling complexes revealed through single-cell perturbation screensJordan E Otto, Oana Ursu, Alexander P Wu, et al.
Nature Communications|May 6, 2017
Genome-scale measurement of off-target activity using Cas9 toxicity in high-throughput screensDavid W Morgens, Michael Wainberg, Evan A Boyle, et al.
Cell|August 25, 2015
Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal InteractionsFabian Grubert, Judith B Zaugg, Maya Kasowski, et al.
Genome Biology|March 21, 2019
Measuring the reproducibility and quality of Hi-C dataGalip Gürkan Yardımcı, Hakan Ozadam, Michael E G Sauria, et al.
Nature Biotechnology|January 21, 2022
Massively parallel phenotyping of coding variants in cancer with Perturb-seqOana Ursu, James T Neal, Emily Shea, et al.
Nature Biotechnology|October 18, 2022
Author Correction: Massively parallel phenotyping of coding variants in cancer with Perturb-seqOana Ursu, James T Neal, Emily Shea, et al.
Pageof 2