A
Arthur Liberzon
Researcher at Broad Institute
Publications - 28
Citations - 14263
Arthur Liberzon is an academic researcher from Broad Institute. The author has contributed to research in topics: Gene & GATAD2B. The author has an hindex of 17, co-authored 27 publications receiving 8447 citations. Previous affiliations of Arthur Liberzon include Massachusetts Institute of Technology & Bar-Ilan University.
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Journal ArticleDOI
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon,Chet Birger,Helga Thorvaldsdottir,Mahmoud Ghandi,Jill P. Mesirov,Pablo Tamayo +5 more
TL;DR: A combination of automated approaches and expert curation is used to develop a collection of "hallmark" gene sets, derived from multiple "founder" sets, that conveys a specific biological state or process and displays coherent expression in MSigDB.
Journal ArticleDOI
Molecular signatures database (MSigDB) 3.0
Arthur Liberzon,Aravind Subramanian,Reid M. Pinchback,Helga Thorvaldsdottir,Pablo Tamayo,Jill P. Mesirov +5 more
TL;DR: A new version of the database, MSigDB 3.0, is reported, with over 6700 gene sets, a complete revision of the collection of canonical pathways and experimental signatures from publications, enhanced annotations and upgrades to the web site.
Journal ArticleDOI
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.
Aravind Subramanian,Rajiv Narayan,Steven M. Corsello,Steven M. Corsello,David Peck,Ted Natoli,Xiaodong Lu,Joshua Gould,John F. Davis,Andrew A. Tubelli,Jacob K. Asiedu,David L. Lahr,Jodi E. Hirschman,Zihan Liu,Melanie Donahue,Bina Julian,Mariya Khan,David Wadden,Ian Smith,Daniel D. Lam,Arthur Liberzon,Courtney Toder,Mukta Bagul,Marek Orzechowski,Oana M. Enache,Federica Piccioni,Sarah A. Johnson,Nicholas J. Lyons,Alice H. Berger,Alice H. Berger,Alykhan F. Shamji,Angela N. Brooks,Angela N. Brooks,Anita Vrcic,Corey Flynn,Jacqueline Rosains,David Y. Takeda,David Y. Takeda,Roger Hu,Desiree Davison,Justin Lamb,Kristin Ardlie,Larson Hogstrom,Peyton Greenside,Nathanael S. Gray,Nathanael S. Gray,Paul A. Clemons,Serena J. Silver,Xiaoyun Wu,Wen-Ning Zhao,Wen-Ning Zhao,Willis Read-Button,Xiaohua Wu,Stephen J. Haggarty,Stephen J. Haggarty,Lucienne Ronco,Jesse S. Boehm,Stuart L. Schreiber,Stuart L. Schreiber,Stuart L. Schreiber,John G. Doench,Joshua A. Bittker,David E. Root,Bang Wong,Todd R. Golub +64 more
TL;DR: The expanded CMap is reported, made possible by a new, low-cost, high-throughput reduced representation expression profiling method that is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
Posted ContentDOI
A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles
Aravind Subramanian,Rajiv Narayan,Steven M. Corsello,David Peck,Ted Natoli,Xiaodong Lu,Joshua Gould,John F. Davis,Andrew A. Tubelli,Jacob K. Asiedu,David L. Lahr,Jodi E. Hirschman,Zihan Liu,Melanie Donahue,Bina Julian,Mariya Khan,David Wadden,Ian Smith,Daniel D. Lam,Arthur Liberzon,Courtney Toder,Mukta Bagul,Marek Orzechowski,Oana M. Enache,Federica Piccioni,Alice H. Berger,Alykhan F. Shamji,Angela N. Brooks,Anita Vrcic,Corey Flynn,Jacqueline Rosains,David Y. Takeda,Desiree Davison,Justin Lamb,Kristin Ardlie,Larson Hogstrom,Nathanael S. Gray,Paul A. Clemons,Serena J. Silver,Xiaoyun Wu,Wen-Ning Zhao,Willis Read-Button,Xiaohua Wu,Stephen J. Haggarty,Lucienne Ronco,Jesse S. Boehm,Stuart L. Schreiber,John G. Doench,Joshua A. Bittker,David E. Root,Bang Wong,Todd R. Golub +51 more
TL;DR: A new, low-cost, high throughput reduced representation expression profiling method, L1000, is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
Journal ArticleDOI
Combining clinical, pathology, and gene expression data to predict recurrence of hepatocellular carcinoma.
Augusto Villanueva,Augusto Villanueva,Yujin Hoshida,Yujin Hoshida,Carlo Battiston,Victoria Tovar,Victoria Tovar,Daniela Sia,Daniela Sia,Clara Alsinet,Clara Alsinet,Helena Cornella,Helena Cornella,Arthur Liberzon,Masahiro Kobayashi,Hiromitsu Kumada,Swan N. Thung,Jordi Bruix,Jordi Bruix,Philippa Newell,Craig April,Jian-Bing Fan,Sasan Roayaie,Vincenzo Mazzaferro,Myron Schwartz,Josep M. Llovet +25 more
TL;DR: A composite prognostic model for HCC recurrence is developed, based on gene expression patterns in tumor and adjacent tissues, which predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses.