Resultados da busca - Aravind Subramanian

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  1. 1
    Gene expression inference with deep learning

    Gene expression inference with deep learning por Yifei Chen, Yi Li, Rajiv Narayan, Aravind Subramanian, Xiaohui Xie

    Publicado em 2016
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  2. 2
    <i>GSEA-P</i>: a desktop application for Gene Set Enrichment Analysis

    <i>GSEA-P</i>: a desktop application for Gene Set Enrichment Analysis por Aravind Subramanian, Kathleen Kuehn, Joshua Gould, Pablo Tamayo, Jill P. Mesirov

    Publicado em 2007
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  3. 3
    Molecular signatures database (MSigDB) 3.0

    Molecular signatures database (MSigDB) 3.0 por Arthur Liberzon, Aravind Subramanian, Reid M. Pinchback, Helga Thorvaldsdóttir, Pablo Tamayo, Jill P. Mesirov

    Publicado em 2011
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  4. 4
    SNP-based pathway enrichment analysis for genome-wide association studies

    SNP-based pathway enrichment analysis for genome-wide association studies por Lingjie Weng, Fabìo Macciardi, Aravind Subramanian, Guia Guffanti, Steven G. Potkin, Zhaoxia Yu, Xiaohui Xie

    Publicado em 2011
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  5. 5
    Epstein-Barr-Virus-Encoded LMP2A Induces Primary Epithelial Cell Migration and Invasion: Possible Role in Nasopharyngeal Carcinoma Metastasis

    Epstein-Barr-Virus-Encoded LMP2A Induces Primary Epithelial Cell Migration and Invasion: Possible Role in Nasopharyngeal Carcinoma Metastasis por D. Michiel Pegtel, Aravind Subramanian, Tzung-Shiahn Sheen, Ching‐Hwa Tsai, Todd R. Golub, David A. Thorley‐Lawson

    Publicado em 2005
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  6. 6
    An RNA interference model of RPS19 deficiency in Diamond-Blackfan anemia recapitulates defective hematopoiesis and rescue by dexamethasone: identification of dexamethasone-responsive genes by microarray

    An RNA interference model of RPS19 deficiency in Diamond-Blackfan anemia recapitulates defective hematopoiesis and rescue by dexamethasone: identification of dexamethasone-responsi... por Benjamin L. Ebert, Michele M. Lee, Jennifer Pretz, Aravind Subramanian, Raymond H. Mak, Todd R. Golub, Colin A. Sieff

    Publicado em 2005
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  7. 7
    High-throughput validation of ceRNA regulatory networks

    High-throughput validation of ceRNA regulatory networks por Hua‐Sheng Chiu, María Rodríguez Martínez, Mukesh Bansal, Aravind Subramanian, Todd R. Golub, Xuerui Yang, Pavel Sumazin, Andrea Califano

    Publicado em 2017
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  8. 8
    Selective killing of K-ras mutant cancer cells by small molecule inducers of oxidative stress

    Selective killing of K-ras mutant cancer cells by small molecule inducers of oxidative stress por Alice T. Shaw, Monte M. Winslow, Margaret Magendantz, Chensi Ouyang, James A. Dowdle, Aravind Subramanian, Timothy A. Lewis, Rebecca L. Maglathin, Nicola Tolliday, Tyler Jacks

    Publicado em 2011
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  9. 9
    Gene Expression Changes in an Animal Melanoma Model Correlate with Aggressiveness of Human Melanoma Metastases

    Gene Expression Changes in an Animal Melanoma Model Correlate with Aggressiveness of Human Melanoma Metastases por Lei Xu, Steven S. Shen, Yujin Hoshida, Aravind Subramanian, Ken N. Ross, Jean-Philippe Brunet, Stephan N. Wagner, Sridhar Ramaswamy, Jill P. Mesirov, Richard O. Hynes

    Publicado em 2008
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  10. 10
    Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map

    Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map por Ian C. P. Smith, Peyton Greenside, Ted Natoli, David L. Lahr, David Wadden, Itay Tirosh, Rajiv Narayan, David E. Root, Todd R. Golub, Aravind Subramanian, John G. Doench

    Publicado em 2017
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  11. 11
    Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

    Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles por Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda G. Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander, Jill P. Mesirov

    Publicado em 2005
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  12. 12
    Inactivation of the Snf5 tumor suppressor stimulates cell cycle progression and cooperates with p53 loss in oncogenic transformation

    Inactivation of the Snf5 tumor suppressor stimulates cell cycle progression and cooperates with p53 loss in oncogenic transformation por Michael S. Isakoff, Courtney G. Sansam, Pablo Tamayo, Aravind Subramanian, Julia A. Evans, Christine M. Fillmore, Xi Wang, Jaclyn A. Biegel, Scott L. Pomeroy, Jill P. Mesirov, Charles W.M. Roberts

    Publicado em 2005
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  13. 13
    LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures

    LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures por Qiaonan Duan, Corey Flynn, Mario Niepel, Marc Hafner, Jeremy L. Muhlich, Nicolas Fernandez, Andrew D. Rouillard, Christopher M. Tan, Edward Y. Chen, Todd R. Golub, Peter K. Sorger, Aravind Subramanian, Avi Ma’ayan

    Publicado em 2014
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  14. 14
    Wilms tumor 1 (WT1) regulates KRAS-driven oncogenesis and senescence in mouse and human models

    Wilms tumor 1 (WT1) regulates KRAS-driven oncogenesis and senescence in mouse and human models por Silvestre Vicent, Chen Ron, Leanne C. Sayles, Chenwei Lin, Randal G. Walker, Anna K. Gillespie, Aravind Subramanian, Gregory Hinkle, Xiaoping Yang, Sakina Saif, David E. Root, Vicki Huff, William C. Hahn, E. Alejandro Sweet‐Cordero

    Publicado em 2010
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  15. 15
    Tight Coordination of Protein Translation and HSF1 Activation Supports the Anabolic Malignant State

    Tight Coordination of Protein Translation and HSF1 Activation Supports the Anabolic Malignant State por Sandro Santagata, Marc L. Mendillo, Yun‐Chi Tang, Aravind Subramanian, Casey C. Perley, Stéphane P. Roche, Bang Wong, Rajiv Narayan, Hyoungtae Kwon, Martina Koeva, Angelika Amon, Todd R. Golub, John A. Porco, Luke Whitesell, Susan Lindquist

    Publicado em 2013
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  16. 16
    Genetic modifiers of EGFR dependence in non-small cell lung cancer

    Genetic modifiers of EGFR dependence in non-small cell lung cancer por Tanaz Sharifnia, Victor Rusu, Federica Piccioni, Mukta Bagul, Marcin Imieliński, Andrew D. Cherniack, Chandra Sekhar Pedamallu, Bang Wong, Frederick H. Wilson, Levi A. Garraway, David Altshuler, Todd R. Golub, David E. Root, Aravind Subramanian, Matthew Meyerson

    Publicado em 2014
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  17. 17
    The Drug Repurposing Hub: a next-generation drug library and information resource

    The Drug Repurposing Hub: a next-generation drug library and information resource por Steven M. Corsello, Joshua A. Bittker, Zihan Liu, Joshua Gould, Patrick McCarren, Jodi Hirschman, Stephen Johnston, Anita Vrcic, Bang Wong, Mariya Khan, Jacob K. Asiedu, Rajiv Narayan, Christopher C. Mader, Aravind Subramanian, Todd R. Golub

    Publicado em 2017
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  18. 18
    Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS)

    Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based... por Uma D. Vempati, Caty Chung, Chris Mader, Amar Koleti, Nakul Datar, D. Vidović, David M. Wrobel, Sean D. Erickson, Jeremy L. Muhlich, Gabriel F. Berriz, Cyril H. Benes, Aravind Subramanian, Ajay Pillai, Caroline E. Shamu, Stephan C. Schürer

    Publicado em 2014
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  19. 19
    Ferroptotic cell death triggered by conjugated linolenic acids is mediated by ACSL1

    Ferroptotic cell death triggered by conjugated linolenic acids is mediated by ACSL1 por Alexander Beatty, Tanu Singh, Yulia Y. Tyurina, Vladimir A. Tyurin, Svetlana N. Samovich, Émmanuelle Nicolas, Kristen Maslar, Yan Zhou, Kathy Q. Cai, Yinfei Tan, Sebastian Doll, Marcus Conrad, Aravind Subramanian, Hülya Bayır, Valerian E. Kagan, Ulrike Rennefahrt, Jeffrey R. Peterson

    Publicado em 2021
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  20. 20
    Identification of distinct molecular phenotypes in acute megakaryoblastic leukemia by gene expression profiling

    Identification of distinct molecular phenotypes in acute megakaryoblastic leukemia by gene expression profiling por Jean‐Pierre Bourquin, Aravind Subramanian, Claudia Langebrake, Dirk Reinhardt, Olivier Bernard, Paola Ballerini, André Baruchel, Hélène Cavé, Nicole Dastugue, Henrik Hasle, Gertjan J.L. Kaspers, Michel Lessard, Lucienne Michaux, Paresh Vyas, Elisabeth van Wering, C. Michel Zwaan, Todd R. Golub, Stuart H. Orkin

    Publicado em 2006
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