Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification Tekijä Miguel Lopez-Perez, Pablo Morales-Alvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos

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A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes Tekijä Shangke Liu, Mohamed Amgad, Deeptej More, Muhammad A. Rathore, Roberto Salgado, Lee A. D. Cooper

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High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients Tekijä Xuan Yang, Mohamed Amgad, Lee A. D. Cooper, Yuhong Du, Haian Fu, Andrey A. Ivanov

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Learning from crowds in digital pathology using scalable variational Gaussian processes Tekijä Miguel López-Pérez, Mohamed Amgad, Pablo Morales-Álvarez, Pablo Ruiz, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos

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Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning Tekijä Thomas E. Tavolara, M. Khalid Khan Niazi, Andrew L. Feldman, David L. Jaye, Christopher Flowers, Lee A.D. Cooper, Metin N. Gurcan

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The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas. Tekijä Lee A D Cooper, David A Gutman, Qi Long, Brent A Johnson, Sharath R Cholleti, Tahsin Kurc, Joel H Saltz, Daniel J Brat, Carlos S Moreno

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A high-performance spatial database based approach for pathology imaging algorithm evaluation Tekijä Fusheng Wang, Jun Kong, Jingjing Gao, Lee A.D. Cooper, Tahsin Kurc, Zhengwen Zhou, David Adler, Cristobal Vergara-Niedermayr, Bryan Katigbak, Daniel J Brat, Joel H Saltz

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MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development. Tekijä Sahar Harati, Lee A D Cooper, Josue D Moran, Felipe O Giuste, Yuhong Du, Andrei A Ivanov, Margaret A Johns, Fadlo R Khuri, Haian Fu, Carlos S Moreno

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Correction: Corrigendum: The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies Tekijä Zenggang Li, Andrei A. Ivanov, Rina Su, Valentina Gonzalez-Pecchi, Qi Qi, Songlin Liu, Philip Webber, Elizabeth McMillan, Lauren Rusnak, Cau Pham, Xiaoqian Chen, Xiulei Mo, Brian Revennaugh, Wei Zhou, Adam Marcus, Sahar Harati, Xiang Chen, Margaret A. Johns, Michael A. White, Carlos S. Moreno, Lee A. D. Cooper, Yuhong Du, Fadlo R. Khuri, Haian Fu

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The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies Tekijä Zenggang Li, Andrei A. Ivanov, Rina Su, Valentina Gonzalez-Pecchi, Qi Qi, Songlin Liu, Philip Webber, Elizabeth McMillan, Lauren Rusnak, Cau Pham, Xiaoqian Chen, Xiulei Mo, Brian Revennaugh, Wei Zhou, Adam Marcus, Sahar Harati, Xiang Chen, Margaret A. Johns, Michael A. White, Carlos S. Moreno, Lee A. D. Cooper, Yuhong Du, Fadlo R. Khuri, Haian Fu

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