Pinto, Peter A.

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

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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

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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

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

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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

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

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

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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

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations

Azizi, S., Bayat, S., Yan, P., Tahmasebi, A., Nir, G., Kwak, J. T., Xu, S., Wilson, S., Iczkowski, K. A., Lucia, M. S., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery

Ultrasound Imaging and ElastographyRadiomics and Machine Learning in Medical Imaging

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A urologist’s perspective on prostate cancer imaging: past, present, and future

George, A. K., Turkbey, B., Valayil, S. G., Muthigi, A., Mertan, F., Kongnyuy, M., & Pinto, P. A. (2016) · Abdominal Radiology

Prostate Cancer Diagnosis and TreatmentMedical Imaging Techniques and Applications

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