Anna Goldenberg 个人学术档案

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

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Anna Goldenberg

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

在 utoronto.ca 的电子邮件经过验证 - 首页

machine learning computational biology network modeling disease heterogeneity data integration


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1772	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	1576	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	1149	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	1073	2017
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	723	2018
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	718	2019
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	521	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	438	2019
Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020	346	2020
TensorFlow: biology’s gateway to deep learning? L Rampasek, A Goldenberg Cell systems 2 (1), 12-14, 2016	283	2016
Explaining image classifiers by counterfactual generation CH Chang, E Creager, A Goldenberg, D Duvenaud arXiv preprint arXiv:1807.08024, 2018	271	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	264	2016
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	260	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	258	2002
Unsupervised representation learning for time series with temporal neighborhood coding S Tonekaboni, D Eytan, A Goldenberg arXiv preprint arXiv:2106.00750, 2021	249	2021
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	221	2020
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	162	2013
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	161	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	158	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	153	2019

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