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Kyle Ellrott

Showing results (11-20 of 56) with videos related to

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Genome Biology|December 19, 2024
SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictionsBrian Karlberg, Raphael Kirchgaessner, Jordan Lee, et al.
Bioinformatics (Oxford, England)|August 20, 2019
neoepiscope improves neoepitope prediction with multivariant phasingMary A Wood, Austin Nguyen, Adam J Struck, et al.
Bioinformatics Advances|March 6, 2023
recountmethylation enables flexible analysis of public blood DNA methylation array dataSean K Maden, Brian Walsh, Kyle Ellrott, et al.
JCO Clinical Cancer Informatics|February 26, 2020
Exploring Integrative Analysis Using the BioMedical Evidence GraphAdam Struck, Brian Walsh, Alexander Buchanan, et al.
Nucleic Acids Research|October 22, 2010
TOPSAN: a dynamic web database for structural genomicsKyle Ellrott, Christian M Zmasek, Dana Weekes, et al.
Bioinformatics (Oxford, England)|October 14, 2003
A computational pipeline for protein structure prediction and analysis at genome scaleManesh Shah, Sergei Passovets, Dongsup Kim, et al.
Plos One|December 7, 2017
Prophetic Granger Causality to infer gene regulatory networksDaniel E Carlin, Evan O Paull, Kiley Graim, et al.
BMC Cancer|April 15, 2018
Population-level distribution and putative immunogenicity of cancer neoepitopesMary A Wood, Mayur Paralkar, Mihir P Paralkar, et al.
Nucleic Acids Research|October 31, 2012
The UCSC Cancer Genomics Browser: update 2013Mary Goldman, Brian Craft, Teresa Swatloski, et al.
Nature Genetics|September 28, 2013
Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome AtlasLarsson Omberg, Kyle Ellrott, Yuan Yuan, et al.
Pageof 6

Showing results (11-20 of 56) with videos related to

Sort By:
Pageof 6
Genome Biology|December 19, 2024
SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictionsBrian Karlberg, Raphael Kirchgaessner, Jordan Lee, et al.
Bioinformatics (Oxford, England)|August 20, 2019
neoepiscope improves neoepitope prediction with multivariant phasingMary A Wood, Austin Nguyen, Adam J Struck, et al.
Bioinformatics Advances|March 6, 2023
recountmethylation enables flexible analysis of public blood DNA methylation array dataSean K Maden, Brian Walsh, Kyle Ellrott, et al.
JCO Clinical Cancer Informatics|February 26, 2020
Exploring Integrative Analysis Using the BioMedical Evidence GraphAdam Struck, Brian Walsh, Alexander Buchanan, et al.
Nucleic Acids Research|October 22, 2010
TOPSAN: a dynamic web database for structural genomicsKyle Ellrott, Christian M Zmasek, Dana Weekes, et al.
Bioinformatics (Oxford, England)|October 14, 2003
A computational pipeline for protein structure prediction and analysis at genome scaleManesh Shah, Sergei Passovets, Dongsup Kim, et al.
Plos One|December 7, 2017
Prophetic Granger Causality to infer gene regulatory networksDaniel E Carlin, Evan O Paull, Kiley Graim, et al.
BMC Cancer|April 15, 2018
Population-level distribution and putative immunogenicity of cancer neoepitopesMary A Wood, Mayur Paralkar, Mihir P Paralkar, et al.
Nucleic Acids Research|October 31, 2012
The UCSC Cancer Genomics Browser: update 2013Mary Goldman, Brian Craft, Teresa Swatloski, et al.
Nature Genetics|September 28, 2013
Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome AtlasLarsson Omberg, Kyle Ellrott, Yuan Yuan, et al.
Pageof 6