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Hamed S Najafabadi

Showing results (1-10 of 48) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|July 1, 2022
Analysis of mRNA Dynamics Using RNA Sequencing DataRached Alkallas, Hamed S Najafabadi
Methods in Molecular Biology (Clifton, N.J.)|August 30, 2018
Computational Methods for Analysis of the DNA-Binding Preferences of Cys2His2 Zinc-Finger ProteinsBerat Doğan, Hamed S Najafabadi
Genome Biology|July 7, 2022
Toward a base-resolution panorama of the in vivo impact of cytosine methylation on transcription factor bindingAldo Hernandez-Corchado, Hamed S Najafabadi
Bioinformatics (Oxford, England)|May 9, 2015
Identification of C2H2-ZF binding preferences from ChIP-seq data using RCADEHamed S Najafabadi, Mihai Albu, Timothy R Hughes
Bioinformatics (Oxford, England)|May 24, 2026
Atlas-level single-cell integration and clustering-free differential expression analysis with GEDI 2.0Arsham Mikaeili Namini, Ali Saberi, Hamed S Najafabadi
Nature Communications|October 15, 2017
Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer's diseaseRached Alkallas, Lisa Fish, Hani Goodarzi, et al.
Nature Communications|November 2, 2018
Publisher Correction: Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer's diseaseRached Alkallas, Lisa Fish, Hani Goodarzi, et al.
Nature Communications|August 3, 2024
A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell dataAriel Madrigal, Tianyuan Lu, Larisa M Soto, et al.
Urologic Oncology|November 28, 2018
Age-related variations in gene expression patterns of renal cell carcinomaLara Feulner, Hamed S Najafabadi, Simon Tanguay, et al.
Bioinformatics (Oxford, England)|July 29, 2016
Motif comparison based on similarity of binding affinity profilesSamuel A Lambert, Mihai Albu, Timothy R Hughes, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Methods in Molecular Biology (Clifton, N.J.)|July 1, 2022
Analysis of mRNA Dynamics Using RNA Sequencing DataRached Alkallas, Hamed S Najafabadi
Methods in Molecular Biology (Clifton, N.J.)|August 30, 2018
Computational Methods for Analysis of the DNA-Binding Preferences of Cys2His2 Zinc-Finger ProteinsBerat Doğan, Hamed S Najafabadi
Genome Biology|July 7, 2022
Toward a base-resolution panorama of the in vivo impact of cytosine methylation on transcription factor bindingAldo Hernandez-Corchado, Hamed S Najafabadi
Bioinformatics (Oxford, England)|May 9, 2015
Identification of C2H2-ZF binding preferences from ChIP-seq data using RCADEHamed S Najafabadi, Mihai Albu, Timothy R Hughes
Bioinformatics (Oxford, England)|May 24, 2026
Atlas-level single-cell integration and clustering-free differential expression analysis with GEDI 2.0Arsham Mikaeili Namini, Ali Saberi, Hamed S Najafabadi
Nature Communications|October 15, 2017
Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer's diseaseRached Alkallas, Lisa Fish, Hani Goodarzi, et al.
Nature Communications|November 2, 2018
Publisher Correction: Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer's diseaseRached Alkallas, Lisa Fish, Hani Goodarzi, et al.
Nature Communications|August 3, 2024
A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell dataAriel Madrigal, Tianyuan Lu, Larisa M Soto, et al.
Urologic Oncology|November 28, 2018
Age-related variations in gene expression patterns of renal cell carcinomaLara Feulner, Hamed S Najafabadi, Simon Tanguay, et al.
Bioinformatics (Oxford, England)|July 29, 2016
Motif comparison based on similarity of binding affinity profilesSamuel A Lambert, Mihai Albu, Timothy R Hughes, et al.
Pageof 5