A multimodal graph neural network framework for cancer molecular subtype classification by Bingjun Li, Sheida Nabavi

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Single-cell classification using graph convolutional networks by Tianyu Wang, Jun Bai, Sheida Nabavi

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Noise cancellation using total variation for copy number variation detection by Fatima Zare, Abdelrahman Hosny, Sheida Nabavi

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Deep convolutional neural networks for mammography: advances, challenges and applications by Dina Abdelhafiz, Clifford Yang, Reda Ammar, Sheida Nabavi

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Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data by Tianyu Wang, Boyang Li, Craig E. Nelson, Sheida Nabavi

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An evaluation of copy number variation detection tools for cancer using whole exome sequencing data by Fatima Zare, Michelle Dow, Nicholas Monteleone, Abdelrahman Hosny, Sheida Nabavi

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Convolutional neural network for automated mass segmentation in mammography by Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi

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An immune-centric exploration of BRCA1 and BRCA2 germline mutation related breast and ovarian cancers by Ewa Przybytkowski, Thomas Davis, Abdelrahman Hosny, Julia Eismann, Ursula A. Matulonis, Gerburg M. Wulf, Sheida Nabavi

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Epstein–Barr Virus Infection of Mammary Epithelial Cells Promotes Malignant Transformation by Hai Hu, Man-Li Luo, Christine Desmedt, Sheida Nabavi, Sina Yadegarynia, Alex Hong, Panagiotis A. Konstantinopoulos, Edward Gabrielson, Rebecca Hines-Boykin, German Pihan, Xin Yuan, Christos Sotirious, Dirk P. Dittmer, Joyce D. Fingeroth, Gerburg M. Wulf

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