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FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing
FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing
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FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing

Shen, Ronglai ; Seshan, Venkatraman E

Nucleic acids research, 2016-09, Vol.44 (16), p.e131-e131 [Periódico revisado por pares]

England: Oxford University Press

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2
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
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Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

Shen, Ronglai ; Olshen, Adam B. ; Ladanyi, Marc

Bioinformatics, 2009-11, Vol.25 (22), p.2906-2912 [Periódico revisado por pares]

Oxford: Oxford University Press

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3
Selumetinib-Enhanced Radioiodine Uptake in Advanced Thyroid Cancer
Selumetinib-Enhanced Radioiodine Uptake in Advanced Thyroid Cancer
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Selumetinib-Enhanced Radioiodine Uptake in Advanced Thyroid Cancer

Ho, Alan L ; Grewal, Ravinder K ; Leboeuf, Rebecca ; Sherman, Eric J ; Pfister, David G ; Deandreis, Desiree ; Pentlow, Keith S ; Zanzonico, Pat B ; Haque, Sofia ; Gavane, Somali ; Ghossein, Ronald A ; Ricarte-Filho, Julio C ; Domínguez, José M ; Shen, Ronglai ; Tuttle, R. Michael ; Larson, Steve M ; Fagin, James A

The New England journal of medicine, 2013-02, Vol.368 (7), p.623-632 [Periódico revisado por pares]

Waltham, MA: Massachusetts Medical Society

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4
Loss of the FAT1 Tumor Suppressor Promotes Resistance to CDK4/6 Inhibitors via the Hippo Pathway
Loss of the FAT1 Tumor Suppressor Promotes Resistance to CDK4/6 Inhibitors via the Hippo Pathway
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Loss of the FAT1 Tumor Suppressor Promotes Resistance to CDK4/6 Inhibitors via the Hippo Pathway

Li, Zhiqiang ; Razavi, Pedram ; Li, Qing ; Toy, Weiyi ; Liu, Bo ; Ping, Christina ; Hsieh, Wilson ; Sanchez-Vega, Francisco ; Brown, David N. ; Da Cruz Paula, Arnaud F. ; Morris, Luc ; Selenica, Pier ; Eichenberger, Emily ; Shen, Ronglai ; Schultz, Nikolaus ; Rosen, Neal ; Scaltriti, Maurizio ; Brogi, Edi ; Baselga, Jose ; Reis-Filho, Jorge S. ; Chandarlapaty, Sarat

Cancer cell, 2018-12, Vol.34 (6), p.893-905.e8 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Mining mutation contexts across the cancer genome to map tumor site of origin
Mining mutation contexts across the cancer genome to map tumor site of origin
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Mining mutation contexts across the cancer genome to map tumor site of origin

Chakraborty, Saptarshi ; Martin, Axel ; Guan, Zoe ; Begg, Colin B. ; Shen, Ronglai

Nature communications, 2021-05, Vol.12 (1), p.3051-3051, Article 3051 [Periódico revisado por pares]

London: Nature Publishing Group

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6
Pan-cancer analysis of bi-allelic alterations in homologous recombination DNA repair genes
Pan-cancer analysis of bi-allelic alterations in homologous recombination DNA repair genes
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Pan-cancer analysis of bi-allelic alterations in homologous recombination DNA repair genes

Riaz, Nadeem ; Blecua, Pedro ; Lim, Raymond S ; Shen, Ronglai ; Higginson, Daniel S ; Weinhold, Nils ; Norton, Larry ; Weigelt, Britta ; Powell, Simon N ; Reis-Filho, Jorge S

Nature communications, 2017-10, Vol.8 (1), p.857-7, Article 857 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data
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Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data

Zhao, Yize ; Chang, Changgee ; Hannum, Margaret ; Lee, Jasme ; Shen, Ronglai

Scientific reports, 2021-03, Vol.11 (1), p.5146-11, Article 5146 [Periódico revisado por pares]

England: Nature Publishing Group

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8
Concurrent RB1 and TP53 Alterations Define a Subset of EGFR-Mutant Lung Cancers at risk for Histologic Transformation and Inferior Clinical Outcomes
Concurrent RB1 and TP53 Alterations Define a Subset of EGFR-Mutant Lung Cancers at risk for Histologic Transformation and Inferior Clinical Outcomes
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Concurrent RB1 and TP53 Alterations Define a Subset of EGFR-Mutant Lung Cancers at risk for Histologic Transformation and Inferior Clinical Outcomes

Offin, Michael ; Chan, Joseph M. ; Tenet, Megan ; Rizvi, Hira A. ; Shen, Ronglai ; Riely, Gregory J. ; Rekhtman, Natasha ; Daneshbod, Yahya ; Quintanal-Villalonga, Alvaro ; Penson, Alexander ; Hellmann, Matthew D. ; Arcila, Maria E. ; Ladanyi, Marc ; Pe’er, Dana ; Kris, Mark G. ; Rudin, Charles M. ; Yu, Helena A.

Journal of thoracic oncology, 2019-10, Vol.14 (10), p.1784-1793 [Periódico revisado por pares]

United States: Elsevier Inc

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9
Pattern discovery and cancer gene identification in integrated cancer genomic data
Pattern discovery and cancer gene identification in integrated cancer genomic data
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Pattern discovery and cancer gene identification in integrated cancer genomic data

Mo, Qianxing ; Wang, Sijian ; Seshan, Venkatraman E. ; Olshen, Adam B. ; Schultz, Nikolaus ; Sander, Chris ; Powers, R. Scott ; Ladanyi, Marc ; Shen, Ronglai

Proceedings of the National Academy of Sciences - PNAS, 2013-03, Vol.110 (11), p.4245-4250 [Periódico revisado por pares]

United States: National Academy of Sciences

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10
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
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An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma

Hakimi, A. Ari ; Reznik, Ed ; Lee, Chung-Han ; Creighton, Chad J. ; Brannon, A. Rose ; Luna, Augustin ; Aksoy, B. Arman ; Liu, Eric Minwei ; Shen, Ronglai ; Lee, William ; Chen, Yang ; Stirdivant, Steve M. ; Russo, Paul ; Chen, Ying-Bei ; Tickoo, Satish K. ; Reuter, Victor E. ; Cheng, Emily H. ; Sander, Chris ; Hsieh, James J.

Cancer cell, 2016-01, Vol.29 (1), p.104-116 [Periódico revisado por pares]

United States: Elsevier Inc

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