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Author Details

Marinka Zitnik
Harvard Medical School
2013
53
22
Emma Lundberg (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
37503080Contextualizing protein representations using deep learning on protein networks and single-cell data.bioRxiv2024
37503080Contextualizing protein representations using deep learning on protein networks and single-cell data.bioRxiv2024
36223348Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing.IEEE Trans Vis Comput Graph2023
36223348Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing.IEEE Trans Vis Comput Graph2023
38076673Multimodal learning with graphs.Nat Mach Intell2023
37276949Multimodal learning on graphs for disease relation extraction.J Biomed Inform2023
37140542Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths.Bioinformatics2023
36805623Multimodal representation learning for predicting molecule-disease relations.Bioinformatics2023
36934095Evaluating explainability for graph neural networks.Sci Data2023
36540965Mutual interactors as a principle for phenotype discovery in molecular interaction networks.Pac Symp Biocomput2023
36540964Session Introduction: Graph Representations and Algorithms in Biomedicine.Pac Symp Biocomput2023
36732524Building a knowledge graph to enable precision medicine.Sci Data2023
37532811Scientific discovery in the age of artificial intelligence.Nature2023
38076673Multimodal learning with graphs.Nat Mach Intell2023
37532811Scientific discovery in the age of artificial intelligence.Nature2023
37276949Multimodal learning on graphs for disease relation extraction.J Biomed Inform2023
37140542Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths.Bioinformatics2023
36540965Mutual interactors as a principle for phenotype discovery in molecular interaction networks.Pac Symp Biocomput2023
36540964Session Introduction: Graph Representations and Algorithms in Biomedicine.Pac Symp Biocomput2023
36805623Multimodal representation learning for predicting molecule-disease relations.Bioinformatics2023
36934095Evaluating explainability for graph neural networks.Sci Data2023
36732524Building a knowledge graph to enable precision medicine.Sci Data2023
35085500Sparse dictionary learning recovers pleiotropy from human cell fitness screens.Cell Syst2022
36310683Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation.Cardiovasc Digit Health J2022
36131149Artificial intelligence foundation for therapeutic science.Nat Chem Biol2022
35992305Identification of potent inhibitors of SARS-CoV-2 infection by combined pharmacological evaluation and cellular network prioritization.iScience2022
36328669A manifesto on explainability for artificial intelligence in medicine.Artif Intell Med2022
36316368Graph representation learning in biomedicine and healthcare.Nat Biomed Eng2022
33907750Identification of druggable host targets needed for SARS-CoV-2 infection by combined pharmacological evaluation and cellular network directed prioritization both in vitro and in vivo.bioRxiv2022
35085500Sparse dictionary learning recovers pleiotropy from human cell fitness screens.Cell Syst2022
36310683Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation.Cardiovasc Digit Health J2022
36131149Artificial intelligence foundation for therapeutic science.Nat Chem Biol2022
35992305Identification of potent inhibitors of SARS-CoV-2 infection by combined pharmacological evaluation and cellular network prioritization.iScience2022
36328669A manifesto on explainability for artificial intelligence in medicine.Artif Intell Med2022
36316368Graph representation learning in biomedicine and healthcare.Nat Biomed Eng2022
33907750Identification of druggable host targets needed for SARS-CoV-2 infection by combined pharmacological evaluation and cellular network directed prioritization both in vitro and in vivo.bioRxiv2022
33442560Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.ArXiv2021
33906951Network medicine framework for identifying drug-repurposing opportunities for COVID-19.Proc Natl Acad Sci U S A2021
33741907Identification of disease treatment mechanisms through the multiscale interactome.Nat Commun2021
34035453Quantifying the variation in neonatal transport referral patterns using network analysis.J Perinatol2021
33442560Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.ArXiv2021
33275143DeepPurpose: a deep learning library for drug-target interaction prediction.Bioinformatics2021
34548483Leveraging the Cell Ontology to classify unseen cell types.Nat Commun2021
34753957Co-evolution based machine-learning for predicting functional interactions between human genes.Nat Commun2021
33741907Identification of disease treatment mechanisms through the multiscale interactome.Nat Commun2021
33906951Network medicine framework for identifying drug-repurposing opportunities for COVID-19.Proc Natl Acad Sci U S A2021
34548483Leveraging the Cell Ontology to classify unseen cell types.Nat Commun2021
34753957Co-evolution based machine-learning for predicting functional interactions between human genes.Nat Commun2021
34035453Quantifying the variation in neonatal transport referral patterns using network analysis.J Perinatol2021
33275143DeepPurpose: a deep learning library for drug-target interaction prediction.Bioinformatics2021
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Collaborators

Blaz Zupan
University of Ljubljana
Co-authored papers 15
Albert-L??szl?? Barab??si
Network Science Institute, Northeastern University
Co-authored papers 4
Jimeng Sun
University of Illinois Urbana-Champaign.
Co-authored papers 4
Anna Goldenberg
SickKids Research Institute
Co-authored papers 2
Russ B Altman
Stanford University
Co-authored papers 2
Robert A Davey
Boston University
Co-authored papers 2
Sulaiman Somani
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Tianxi Cai
Harvard T.H. Chan School of Public Health
Co-authored papers 2
Mark Namchuk
Blavatnik Institute, Harvard Medical School
Co-authored papers 2
Stephen J Elledge
Howard Hughes Medical Institute, Brigham and Women's Hospital, Harvard Medical School
Co-authored papers 2
Riccardo Miotto
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Benjamin S Glicksberg
Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Manu Anantpadma
Boston University
Co-authored papers 2
Katherine P Liao
Co-authored papers 2
Carlos D Bustamante
Stanford University
Co-authored papers 1
William C Hahn
Broad Institute of MIT and Harvard, USA Dana-Farber Cancer Institute
Co-authored papers 1
Olga Loseva
Karolinska Institutet
Co-authored papers 1
Hammou Ait Blal
KTH Royal Institute of Technology
Co-authored papers 1
Ashwin N Ananthakrishnan
Co-authored papers 1
Arjun K Manrai
Co-authored papers 1
Thomas Helleday
The University of Sheffield
Co-authored papers 1
Jesse S Boehm
Broad Institute of Harvard and MIT
Co-authored papers 1
Per-Henrik Edqvist
Uppsala University
Co-authored papers 1
Ann-Sofie Jemth
Karolinska Institutet
Co-authored papers 1
Daniel Marbach
Roche Pharma Research and Early Development
Co-authored papers 1
Maria H??ggblad
Karolinska Institute
Co-authored papers 1
Serafim Batzoglou
Co-authored papers 1
Qianwen Wang
Co-authored papers 1
Payal Chandak
Co-authored papers 1
Xuan Wang
University of Illinois at Urbana-Champaign
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Release 1.2