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Quaid D Morris

Showing results (21-30 of 49) with videos related to

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Nature Methods|January 5, 2021
A practical guide to cancer subclonal reconstruction from DNA sequencingMaxime Tarabichi, Adriana Salcedo, Amit G Deshwar, et al.
Nature Genetics|May 29, 2019
Similarity regression predicts evolution of transcription factor sequence specificitySamuel A Lambert, Ally W H Yang, Alexander Sasse, et al.
Nature Genetics|October 31, 2018
Neutral tumor evolution?Maxime Tarabichi, Iñigo Martincorena, Moritz Gerstung, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 2, 2006
Identifying transcription factor functions and targets by phenotypic activationGordon Chua, Quaid D Morris, Richelle Sopko, et al.
Nature Methods|November 21, 2007
Using expression profiling data to identify human microRNA targetsJim C Huang, Tomas Babak, Timothy W Corson, et al.
Cancer Cell|July 12, 2017
Oncogenic Activation of the RNA Binding Protein NELFE and MYC Signaling in Hepatocellular CarcinomaHien Dang, Atsushi Takai, Marshonna Forgues, et al.
Bioinformatics (Oxford, England)|December 18, 2008
Predicting the binding preference of transcription factors to individual DNA k-mersTrevis M Alleyne, Lourdes Peña-Castillo, Gwenael Badis, et al.
Molecular Cell|December 22, 2004
Revealing global regulatory features of mammalian alternative splicing using a quantitative microarray platformQun Pan, Ofer Shai, Christine Misquitta, et al.
Nature Communications|February 7, 2020
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patternsWei Jiao, Gurnit Atwal, Paz Polak, et al.
Nature Communications|December 8, 2022
Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patternsWei Jiao, Gurnit Atwal, Paz Polak, et al.
Pageof 5

Showing results (21-30 of 49) with videos related to

Sort By:
Pageof 5
Nature Methods|January 5, 2021
A practical guide to cancer subclonal reconstruction from DNA sequencingMaxime Tarabichi, Adriana Salcedo, Amit G Deshwar, et al.
Nature Genetics|May 29, 2019
Similarity regression predicts evolution of transcription factor sequence specificitySamuel A Lambert, Ally W H Yang, Alexander Sasse, et al.
Nature Genetics|October 31, 2018
Neutral tumor evolution?Maxime Tarabichi, Iñigo Martincorena, Moritz Gerstung, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 2, 2006
Identifying transcription factor functions and targets by phenotypic activationGordon Chua, Quaid D Morris, Richelle Sopko, et al.
Nature Methods|November 21, 2007
Using expression profiling data to identify human microRNA targetsJim C Huang, Tomas Babak, Timothy W Corson, et al.
Cancer Cell|July 12, 2017
Oncogenic Activation of the RNA Binding Protein NELFE and MYC Signaling in Hepatocellular CarcinomaHien Dang, Atsushi Takai, Marshonna Forgues, et al.
Bioinformatics (Oxford, England)|December 18, 2008
Predicting the binding preference of transcription factors to individual DNA k-mersTrevis M Alleyne, Lourdes Peña-Castillo, Gwenael Badis, et al.
Molecular Cell|December 22, 2004
Revealing global regulatory features of mammalian alternative splicing using a quantitative microarray platformQun Pan, Ofer Shai, Christine Misquitta, et al.
Nature Communications|February 7, 2020
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patternsWei Jiao, Gurnit Atwal, Paz Polak, et al.
Nature Communications|December 8, 2022
Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patternsWei Jiao, Gurnit Atwal, Paz Polak, et al.
Pageof 5