Author

Ted Natoli

Broad Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:bulk RNA-seq· 3 Organism:human· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Aravind SubramanianiD· 4 shared Rajiv Narayan· 3 shared Arthur Liberzon· 2 shared Bang Wong· 2 shared Jacob D. JaffeiD· 2 shared Jesse S. BoehmiD· 2 shared Kasper LageiD· 2 shared Xiaodong LüiD· 2 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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4 shared papersGenomics

Aravind SubramanianORCID

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4 papers

Recent·Most cited

A LINCS microenvironment perturbation resource for integrative assessment of ligand-mediated molecular and phenotypic responses

Sean M. Gross, Mark A. Dane, Rebecca Lee Smith, Kaylyn L. Devlin, Ian C. McLean, Daniel S. Derrick, Caitlin E. Mills, Kartik Subramanian, Alexandra B. London, Denis Torre, John Erol Evangelista, Daniel J. B. Clarke, Zhuorui Xie, Cemal Erdem, Nicholas Lyons, , Laura M. Heiser

The paper presents a LINCS Microenvironment perturbation dataset cataloging transcriptional, proteomic, epigenomic, and phenotypic responses of MCF10A cells to six ligands, enabling integrative analysis of molecular and phenotypic changes.

Communications Biology · Oct 7, 2022Peer-reviewedSystems Biology

Assessment of network module identification across complex diseases

Sarvenaz Choobdar, Mehmet Eren Ahsen, Jake Crawford, Mattia Tomasoni, Tao Fang, David Lamparter, Junyuan Lin, Benjamin J. Hescott, Xiaozhe Hu, Johnathan Mercer, Ted Natoli, Rajiv Narayan, Aravind Subramanian, Jitao David Zhang, Gustavo A. Stolovitzky, , Daniel Marbach

The paper evaluates module identification methods across disease-relevant networks using GWAS data to identify top-performing algorithms and disease-associated modules.

Nature Methods · Aug 30, 2019Peer-reviewedBioinformatics

GeNets: A unified web platform for network-based analyses of genomic data

Taibo Li, April Kim, Joseph Rosenbluh, Heiko Horn, Liraz Greenfeld, David An, Andrew R. Zimmer, Arthur Liberzon, Jon Bistline, Ted Natoli, Yang Li, Aviad Tsherniak, Rajiv Narayan, Aravind Subramanian, Ted Liefeld, , Kasper Lage

GeNets provides a platform to compare genomic networks using machine learning and allows analysis of genetic and RNA sequencing data.

Nature Methods · Jun 15, 2018Peer-reviewedGenomics

A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles

Aravind Subramanian, Rajiv Narayan, Steven M. Corsello, David D. Peck, Ted Natoli, Xiaodong Lü, Joshua Gould, John F. Davis, Andrew A. Tubelli, Jacob K. Asiedu, David L. Lahr, Jodi Hirschman, Zihan Liu, Melanie K. Donahue, Bina Julian, , Todd R. Golub

The paper introduces the L1000 platform, a high-throughput gene expression profiling method, and reports 1.3 million perturbational profiles expanding the Connectivity Map for drug mechanism discovery and functional annotation.

Cell · Nov 1, 2017Peer-reviewedGenomics