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Showing results (31-40 of 45) with videos related to

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Journal of the National Cancer Institute|April 19, 2007
The 1p-encoded protein stathmin and resistance of malignant gliomas to nitrosoureasTeri-T B Ngo, Tien Peng, Xing-Jie Liang, et al.
STAR Protocols|March 19, 2025
Protocol for assessing distances in pathway space for classifier feature sets from machine learning methodsBahar Tercan, Victor H Apolonio, Vinicius S Chagas, et al.
Nature Medicine|August 7, 2015
Toward understanding and exploiting tumor heterogeneityAsh A Alizadeh, Victoria Aranda, Alberto Bardelli, et al.
Nature Genetics|May 12, 2025
Three-dimensional genome landscape of primary human cancersKathryn E Yost, Yanding Zhao, King L Hung, et al.
Science (New York, N.Y.)|October 27, 2018
The chromatin accessibility landscape of primary human cancersM Ryan Corces, Jeffrey M Granja, Shadi Shams, et al.
Cancer Cell|May 13, 2020
Comprehensive Analysis of Genetic Ancestry and Its Molecular Correlates in CancerJian Carrot-Zhang, Nyasha Chambwe, Jeffrey S Damrauer, et al.
Cancer Cell|January 3, 2025
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature setsKyle Ellrott, Christopher K Wong, Christina Yau, et al.
Cell Systems|July 26, 2019
Before and After: Comparison of Legacy and Harmonized TCGA Genomic Data Commons' DataGalen F Gao, Joel S Parker, Sheila M Reynolds, et al.
Cancer Cell|August 16, 2017
Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal MelanomaA Gordon Robertson, Juliann Shih, Christina Yau, et al.
Cell Reports|June 14, 2018
Integrated Molecular Characterization of Testicular Germ Cell TumorsHui Shen, Juliann Shih, Daniel P Hollern, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
Journal of the National Cancer Institute|April 19, 2007
The 1p-encoded protein stathmin and resistance of malignant gliomas to nitrosoureasTeri-T B Ngo, Tien Peng, Xing-Jie Liang, et al.
STAR Protocols|March 19, 2025
Protocol for assessing distances in pathway space for classifier feature sets from machine learning methodsBahar Tercan, Victor H Apolonio, Vinicius S Chagas, et al.
Nature Medicine|August 7, 2015
Toward understanding and exploiting tumor heterogeneityAsh A Alizadeh, Victoria Aranda, Alberto Bardelli, et al.
Nature Genetics|May 12, 2025
Three-dimensional genome landscape of primary human cancersKathryn E Yost, Yanding Zhao, King L Hung, et al.
Science (New York, N.Y.)|October 27, 2018
The chromatin accessibility landscape of primary human cancersM Ryan Corces, Jeffrey M Granja, Shadi Shams, et al.
Cancer Cell|May 13, 2020
Comprehensive Analysis of Genetic Ancestry and Its Molecular Correlates in CancerJian Carrot-Zhang, Nyasha Chambwe, Jeffrey S Damrauer, et al.
Cancer Cell|January 3, 2025
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature setsKyle Ellrott, Christopher K Wong, Christina Yau, et al.
Cell Systems|July 26, 2019
Before and After: Comparison of Legacy and Harmonized TCGA Genomic Data Commons' DataGalen F Gao, Joel S Parker, Sheila M Reynolds, et al.
Cancer Cell|August 16, 2017
Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal MelanomaA Gordon Robertson, Juliann Shih, Christina Yau, et al.
Cell Reports|June 14, 2018
Integrated Molecular Characterization of Testicular Germ Cell TumorsHui Shen, Juliann Shih, Daniel P Hollern, et al.
Pageof 5