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Matthew Ruffalo

Showing results (1-10 of 20) with videos related to

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BMC Cancer|April 25, 2019
Protein interaction disruption in cancerMatthew Ruffalo, Ziv Bar-Joseph
Bioinformatics (Oxford, England)|September 3, 2016
Genome wide predictions of miRNA regulation by transcription factorsMatthew Ruffalo, Ziv Bar-Joseph
Plos Computational Biology|December 20, 2015
Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in CancerMatthew Ruffalo, Mehmet Koyutürk, Roded Sharan
Bioinformatics (Oxford, England)|August 23, 2011
Comparative analysis of algorithms for next-generation sequencing read alignmentMatthew Ruffalo, Thomas LaFramboise, Mehmet Koyutürk
Nucleic Acids Research|February 10, 2023
Using single cell atlas data to reconstruct regulatory networksQi Song, Matthew Ruffalo, Ziv Bar-Joseph
Bioinformatics (Oxford, England)|September 11, 2012
Accurate estimation of short read mapping quality for next-generation genome sequencingMatthew Ruffalo, Mehmet Koyutürk, Soumya Ray, et al.
Methods (San Diego, Calif.)|July 30, 2025
3DCellComposer - A versatile pipeline utilizing 2D cell segmentation methods for 3D cell segmentationHaoran Chen, Ted Zhang, Matthew Ruffalo, et al.
Genome Research|February 18, 2025
A unified analysis of atlas single-cell dataHao Chen, Nam D Nguyen, Matthew Ruffalo, et al.
BMC Systems Biology|October 12, 2017
Reconstructing cancer drug response networks using multitask learningMatthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, et al.
Nature Communications|November 15, 2018
A web server for comparative analysis of single-cell RNA-seq dataAmir Alavi, Matthew Ruffalo, Aiyappa Parvangada, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
BMC Cancer|April 25, 2019
Protein interaction disruption in cancerMatthew Ruffalo, Ziv Bar-Joseph
Bioinformatics (Oxford, England)|September 3, 2016
Genome wide predictions of miRNA regulation by transcription factorsMatthew Ruffalo, Ziv Bar-Joseph
Plos Computational Biology|December 20, 2015
Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in CancerMatthew Ruffalo, Mehmet Koyutürk, Roded Sharan
Bioinformatics (Oxford, England)|August 23, 2011
Comparative analysis of algorithms for next-generation sequencing read alignmentMatthew Ruffalo, Thomas LaFramboise, Mehmet Koyutürk
Nucleic Acids Research|February 10, 2023
Using single cell atlas data to reconstruct regulatory networksQi Song, Matthew Ruffalo, Ziv Bar-Joseph
Bioinformatics (Oxford, England)|September 11, 2012
Accurate estimation of short read mapping quality for next-generation genome sequencingMatthew Ruffalo, Mehmet Koyutürk, Soumya Ray, et al.
Methods (San Diego, Calif.)|July 30, 2025
3DCellComposer - A versatile pipeline utilizing 2D cell segmentation methods for 3D cell segmentationHaoran Chen, Ted Zhang, Matthew Ruffalo, et al.
Genome Research|February 18, 2025
A unified analysis of atlas single-cell dataHao Chen, Nam D Nguyen, Matthew Ruffalo, et al.
BMC Systems Biology|October 12, 2017
Reconstructing cancer drug response networks using multitask learningMatthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, et al.
Nature Communications|November 15, 2018
A web server for comparative analysis of single-cell RNA-seq dataAmir Alavi, Matthew Ruffalo, Aiyappa Parvangada, et al.
Pageof 2