Anna Goldenberg

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Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkEmail verificata su uhnresearch.ca
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoEmail verificata su vectorinstitute.ai
Petr SmirnovPostdoctoral Fellow, EMBLEmail verificata su embl.de
Michael BrudnoProfessor of Computer Science, University of Toronto; Chief Data Scientist, UHNEmail verificata su cs.toronto.edu
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberEmail verificata su hsph.harvard.edu
Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceEmail verificata su cs.cmu.edu
Marc FiumeUniversity of TorontoEmail verificata su cs.toronto.edu
Sara MostafaviUniversity of WashingtonEmail verificata su cs.washington.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityEmail verificata su fas.harvard.edu
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterEmail verificata su mskcc.org
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoEmail verificata su ucsd.edu
Andrew MooreDean, School of Computer Science, Carnegie MellonEmail verificata su cs.cmu.edu
Gary BaderProfessor of Molecular Genetics and Computer Science, The Donnelly Centre, University of TorontoEmail verificata su utoronto.ca
Sohrab ShahMemorial Sloan Kettering Cancer CenterEmail verificata su mskcc.org
Galit ShmueliChair Professor, National Tsing Hua UniversityEmail verificata su iss.nthu.edu.tw
Zhaolei Zhang, ProfessorUniversity of Toronto, Donnelly Centre, Dept of Molecular Genetics, Dept of Computer ScienceEmail verificata su utoronto.ca
Yue LiMcGill UniversityEmail verificata su cs.mcgill.ca
Mohammed AlshalalfaBioinformatician and Genomic AnalystEmail verificata su ucalgary.ca
David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail verificata su columbia.edu
Gerald QuonAssociate Professor, University of California, DavisEmail verificata su ucdavis.edu

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Anna Goldenberg

Scientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of Toronto

Email verificata su utoronto.ca - Home page

machine learning computational biology network modeling disease heterogeneity data integration


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Similarity network fusion for aggregating data types on a genomic scale B Wang, AM Mezlini, F Demir, M Fiume, Z Tu, M Brudno, B Haibe-Kains, ... Nature methods 11 (3), 333-337, 2014	1956	2014
Integrated genomic characterization of pancreatic ductal adenocarcinoma BJ Raphael, RH Hruban, AJ Aguirre, RA Moffitt, JJ Yeh, C Stewart, ... Cancer cell 32 (2), 185-203. e13, 2017	1750	2017
A survey of statistical network models A Goldenberg, AX Zheng, SE Fienberg, EM Airoldi Foundations and Trends® in Machine Learning 2 (2), 129-233, 2010	1184	2010
Intertumoral heterogeneity within medulloblastoma subgroups FMG Cavalli, M Remke, L Rampasek, J Peacock, DJH Shih, B Luu, ... Cancer cell 31 (6), 737-754. e6, 2017	1165	2017
Do no harm: a roadmap for responsible machine learning for health care J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ... Nature medicine 25 (9), 1337-1340, 2019	846	2019
Sensitive tumour detection and classification using plasma cell-free DNA methylomes SY Shen, R Singhania, G Fehringer, A Chakravarthy, MHA Roehrl, ... Nature 563 (7732), 579-583, 2018	810	2018
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities M Zitnik, F Nguyen, B Wang, J Leskovec, A Goldenberg, MM Hoffman Information Fusion 50, 71-91, 2019	604	2019
What clinicians want: contextualizing explainable machine learning for clinical end use S Tonekaboni, S Joshi, MD McCradden, A Goldenberg Machine learning for healthcare conference, 359-380, 2019	553	2019
Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020	421	2020
Unsupervised representation learning for time series with temporal neighborhood coding S Tonekaboni, D Eytan, A Goldenberg arXiv preprint arXiv:2106.00750, 2021	363	2021
Machine learning approaches to drug response prediction: challenges and recent progress G Adam, L Rampášek, Z Safikhani, P Smirnov, B Haibe-Kains, ... NPJ precision oncology 4 (1), 19, 2020	322	2020
TensorFlow: biology’s gateway to deep learning? L Rampasek, A Goldenberg Cell systems 2 (1), 12-14, 2016	298	2016
Explaining image classifiers by counterfactual generation CH Chang, E Creager, A Goldenberg, D Duvenaud arXiv preprint arXiv:1807.08024, 2018	297	2018
PharmacoGx: an R package for analysis of large pharmacogenomic datasets P Smirnov, Z Safikhani, N El-Hachem, D Wang, A She, C Olsen, ... Bioinformatics 32 (8), 1244-1246, 2016	283	2016
Biological embedding of experience: a primer on epigenetics MJ Aristizabal, I Anreiter, T Halldorsdottir, CL Odgers, TW McDade, ... Proceedings of the National Academy of Sciences 117 (38), 23261-23269, 2020	264	2020
Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales A Goldenberg, G Shmueli, RA Caruana, SE Fienberg Proceedings of the National Academy of Sciences 99 (8), 5237-5240, 2002	259	2002
Applying machine learning in liver disease and transplantation: a comprehensive review A Spann, A Yasodhara, J Kang, K Watt, BO Wang, A Goldenberg, M Bhat Hepatology 71 (3), 1093-1105, 2020	189	2020
To embed or not: network embedding as a paradigm in computational biology W Nelson, M Zitnik, B Wang, J Leskovec, A Goldenberg, R Sharan Frontiers in genetics 10, 381, 2019	182	2019
Recurrent noncoding U1 snRNA mutations drive cryptic splicing in SHH medulloblastoma H Suzuki, SA Kumar, S Shuai, A Diaz-Navarro, A Gutierrez-Fernandez, ... Nature 574 (7780), 707-711, 2019	176	2019
iReckon: simultaneous isoform discovery and abundance estimation from RNA-seq data AM Mezlini, EJM Smith, M Fiume, O Buske, GL Savich, S Shah, S Aparicio, ... Genome research 23 (3), 519-529, 2013	166	2013

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