Knijnenburg, Theo
Allen Institute for Cell Science
22 papers on CoChatORCID 0000-0001-6397-4222
Most cited papers
- Verified
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity
Cancer Immunotherapy and BiomarkersImmune cells in cancer
Cited by 5,870
- Verified
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
Liu, J., Lichtenberg, T., Hoadley, K. A., Poisson, L. M., Lazar, A. J., Cherniack, A. D., Kovatich, A. J., Benz, C. C., Levine, D. A., Lee, A. V., et al. (2018) · Cell
Cancer Genomics and DiagnosticsGene expression and cancer classification
Cited by 3,725
- Verified
Oncogenic Signaling Pathways in The Cancer Genome Atlas
Sanchez-Vega, F., Mina, M., Armenia, J., Chatila, W. K., Luna, A., La, K. C., Dimitriadoy, S., Liu, D. L., Kantheti, H. S., Saghafinia, S., et al. (2018) · Cell
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 3,201
- Verified
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
Hoadley, K. A., Yau, C., Hinoue, T., Wolf, D. M., Lazar, A. J., Drill, E., Shen, R., Taylor, A. M., Cherniack, A. D., Thorsson, V., et al. (2018) · Cell
Cancer Genomics and DiagnosticsGene expression and cancer classification
Cited by 2,546
- Verified
Comprehensive Characterization of Cancer Driver Genes and Mutations
Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell
Cancer Genomics and DiagnosticsGenomics and Rare Diseases
Cited by 2,256
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Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
Malta, T. M., Sokolov, A., Gentles, A. J., Burzykowski, T., Poisson, L., Weinstein, J. N., Kamińska, B., Huelsken, J., Omberg, L., Gevaert, O., et al. (2018) · Cell
Cancer Cells and MetastasisPluripotent Stem Cells Research
Cited by 2,180
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A Landscape of Pharmacogenomic Interactions in Cancer
Iorio, F., Knijnenburg, T. A., Vis, D. J., Bignell, G. R., Menden, M. P., Schubert, M., Aben, N., Gonçalves, E., Barthorpe, S., Lightfoot, H., et al. (2016) · Cell
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 2,090
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The chromatin accessibility landscape of primary human cancers
Corces, M. R., Granja, J. M., Shams, S., Louie, B. H., Seoane, J. A., Zhou, W., Silva, T. C., Groeneveld, C., Wong, C. K., Cho, S. W., et al. (2018) · Science
Genomics and Chromatin DynamicsChromatin Remodeling and Cancer
Cited by 1,230
- Verified
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., Samaras, D., Shroyer, K. R., Zhao, T., Batiste, R., et al. (2018) · Cell Reports
AI in cancer detectionCancer Immunotherapy and Biomarkers
Cited by 1,027
- Verified
Comprehensive Characterization of Cancer Driver Genes and Mutations
Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 552
- Verified
Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer
Wang, Y., Xu, X., Maglic, D., Dill, M. T., Mojumdar, K., Ng, P. K.-S., Jeong, K. J., Tsang, Y. H., Moreno, D., Bhavana, V. H., et al. (2018) · Cell Reports
Hippo pathway signaling and YAP/TAZCancer-related molecular mechanisms research
Cited by 500
- Verified
Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas
Schaub, F. X., Dhankani, V., Berger, A. C., Trivedi, M., Richardson, A. B., Shaw, R., Zhao, W., Zhang, X., Ventura, A., Liu, Y., et al. (2018) · Cell Systems
Cancer Genomics and DiagnosticsCancer-related Molecular Pathways
Cited by 431
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MED12 Controls the Response to Multiple Cancer Drugs through Regulation of TGF-β Receptor Signaling
Huang, S., Hölzel, M., Knijnenburg, T., Schlicker, A., Roepman, P., McDermott, U., Garnett, M., Grernrum, W., Sun, C., Prahallad, A., et al. (2012) · Cell
TGF-β signaling in diseasesLung Cancer Treatments and Mutations
Cited by 430
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Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics
Ding, L., Bailey, M. H., Porta-Pardo, E., Thorsson, V., Colaprico, A., Bertrand, D., Gibbs, D. L., Weerasinghe, A., Huang, K.-L., Tokheim, C., et al. (2018) · Cell
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 399
- Verified
Integrated intracellular organization and its variations in human iPS cells
Viana, M. P., Chen, J., Knijnenburg, T. A., Vasan, R., Yan, C., Arakaki, J. E., Bailey, M., Berry, B., Borensztejn, A., Brown, E. M., et al. (2023) · Nature
Cell Image Analysis TechniquesPluripotent Stem Cells Research
Cited by 132
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Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes
Zhou, J. X., Taramelli, R., Pedrini, E., Knijnenburg, T., & Huang, S. (2017) · Scientific Reports
Bioinformatics and Genomic NetworksSingle-cell and spatial transcriptomics
Cited by 85
- Verified
Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy
Knijnenburg, T. A., Klau, G. W., Iorio, F., Garnett, M. J., McDermott, U., Shmulevich, I., & Wessels, L. F. A. (2016) · Scientific Reports
Gene Regulatory Network AnalysisExplainable Artificial Intelligence (XAI)
Cited by 74
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Cell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes
Gerbin, K. A., Grancharova, T., Donovan-Maiye, R., Hendershott, M. C., Brown, J., Dinh, S. Q., Gehring, J. L., Hirano, M., Johnson, G. R., Nath, A., et al. (2020) · Cell Systems
Single-cell and spatial transcriptomicsPluripotent Stem Cells Research
Cited by 59
- Verified
Cell states beyond transcriptomics: Integrating structural organization and gene expression in hiPSC-derived cardiomyocytes
Gerbin, K. A., Grancharova, T., Donovan-Maiye, R. M., Hendershott, M. C., Anderson, H. G., Brown, J. M., Chen, J., Dinh, S. Q., Gehring, J. L., Johnson, G. R., et al. (2021) · Cell Systems
Single-cell and spatial transcriptomicsPluripotent Stem Cells Research
Cited by 59
- Verified
A deep generative model of 3D single-cell organization
Donovan-Maiye, R. M., Brown, J. M., Chan, C. K., Ding, L., Yan, C., Gaudreault, N., Theriot, J. A., Maleckar, M. M., Knijnenburg, T. A., & Johnson, G. R. (2022) · PLOS Computational Biology
Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics
Cited by 44
- Verified
A deep generative model of 3D single-cell organization
Donovan-Maiye, R. M., Brown, J. M., Chan, C. K., Ding, L., Yan, C., Gaudreault, N., Theriot, J. A., Maleckar, M. M., Knijnenburg, T. A., & Johnson, G. R. (2021) · PLoS Computational Biology
Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics
Cited by 44
- Verified
Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins
Mirzaei, H., Knijnenburg, T. A., Kim, B., Robinson, M., Picotti, P., Carter, G. W., Li, S., Dilworth, D. J., Eng, J. K., Aitchison, J. D., et al. (2013) · Proceedings of the National Academy of Sciences
Advanced Proteomics Techniques and ApplicationsGenomics and Chromatin Dynamics
Cited by 30
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