3O Pre-clinical pan-cancer drug repurposing via deep learning von Ocasio, B.A., Hu, J., Stathias, V., Martinez, M.J., Burnstein, K.L., Schurer, S.C.

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CB-14 GENOMIC APPROACHES TO IDENTIFY CODING AND NONCODING RNA TARGETS IN MEDULLOBLASTOMA von Penas, C., Zhang, M., Clarke, J., Stathias, V., Roussel, M., Hatten, M., Ayad, N.

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GE-32 AN INTERGRADED BIOINFORMATICS APPROACH FOR IDENTIFYING NOVEL GENE NETWORKS IN GLIOBLASTOMA von Stathias, V., Pastori, C., Komotar, R. J., Zhang, M., Clarke, J., Ayad, N. G.

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EG-04 DEVELOPMENT OF HIGHLY POTENT, SELECTIVE BET BROMODOMAIN INHIBITORS THAT ARE CNS PENETRANT AND EFFECTIVE IN RODENT MODELS OF BRAIN CANCER von Johnstone, S., Johhnsone, A., Penas, C., Stathias, V., Brothers, S., Ayad, N., Wahlestedt, C., Albert, J.

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Time series modeling of cell cycle exit identifies Brd4 dependent regulation of cerebellar neurogenesis von Penas Pérez, Clara, Maloof, M. E, Stathias, V, Long, J, Tan, S. K, Mier, J, Fang, Y, Valdes, C, Rodriguez-Blanco, J, Chiang, C. M, Robbins, D. J, Liebl, D. J, Lee, J. K, Hatten, M. E, Clarke, J, Ayad, N. G

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Time series modeling of cell cycle exit identifies Brd4 dependent regulation of cerebellar neurogenesis von Penas Pérez, Clara, Maloof, M. E, Stathias, V, Long, J, Tan, S. K, Mier, J, Fang, Y, Valdes, C, Rodriguez-Blanco, J, Chiang, C. M, Robbins, D. J, Liebl, D. J, Lee, J. K, Hatten, M. E, Clarke, J, Ayad, N. G

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Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation von Geffen, Yifat, Anand, Shankara, Akiyama, Yo, Yaron, Tomer M., Song, Yizhe, Johnson, Jared L., Govindan, Akshay, Li, Yize, Huntsman, Emily, Wang, Liang-Bo, Birger, Chet, Heiman, David I., Zhang, Qing, Miller, Mendy, Calinawan, Anna, Belkin, Saveliy, Kerelsky, Alexander, Clauser, Karl R., Krug, Karsten, Satpathy, Shankha, Payne, Samuel H., Mani, D.R., Gillette, Michael A., Dhanasekaran, Saravana M., Thiagarajan, Mathangi, Mesri, Mehdi, Rodriguez, Henry, Robles, Ana I., Lazar, Alexander J., Ding, Li, Getz, Gad, An, Eunkyung, Anurag, Meenakshi, Bavarva, Jasmin, Birrer, Michael J., Cao, Song, Ceccarelli, Michele, Chinnaiyan, Arul M., Chowdhury, Shrabanti, Colaprico, Antonio, Carr, Steven A., da Veiga Leprevost, Felipe, Day, Corbin, Domagalski, Marcin J., Ellis, Matthew J., Fenyo, David, Foltz, Steven M., Francis, Alicia, Gonzalez Robles, Tania J., Gosline, Sara J.C., Gümüş, Zeynep H., Hiltke, Tara, Hong, Runyu, Hu, Yingwei, Huang, Chen, Iavarone, Antonio, Jewel, Scott D., Katsnelson, Lizabeth, Ketchum, Karen A., Kolodziejczak, Iga, Kumar-Sinha, Chandan, Krug, Karsten, Lei, Jonathan T., Liang, Wen-Wei, Liao, Yuxing, Lindgren, Caleb M., Liu, Tao, Liu, Wenke, Ma, Weiping, McKerrow, Wilson, Mesri, Mehdi, Newton, Chelsea, Omenn, Gilbert S., Paulovich, Amanda G., Petralia, Francesca, Pugliese, Pietro, Reva, Boris, Rodland, Karin D., Ruggles, Kelly V., Rodrigues, Fernanda Martins, Savage, Sara R., Schadt, Eric E., Schnaubelt, Michael, Schraink, Tobias, Shi, Zhiao, Smith, Richard D., Stathias, Vasileios, Storrs, Erik P., Selvan, Myvizhi Esai, Tan, Jimin, Thangudu, Ratna R., Wang, Joshua M., Wang, Pei, Wang, Ying (Cindy), Wen, Bo, Wu, Yige, Yi, Xinpei, Zhang, Bing, Zhang, Xu, Zhang, Zhen

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Proteogenomic data and resources for pan-cancer analysis von Dou, Yongchao, Da Veiga Leprevost, Felipe, Geffen, Yifat, Calinawan, Anna P., Aguet, François, Birger, Chet, Cao, Song, Chaudhary, Rekha, Cieslik, Marcin, Colaprico, Antonio, Zhou, Daniel Cui, Day, Corbin, Domagalski, Marcin J., Fenyö, David, Foltz, Steven M., Gonzalez-Robles, Tania, Gümüş, Zeynep H., Heiman, David, Hong, Runyu, Hu, Yingwei, Jaehnig, Eric J., Ji, Jiayi, Jiang, Wen, Ketchum, Karen A., Klein, Robert J., Liao, Yuxing, Lindgren, Caleb M., Ma, Weiping, Ma, Lei, MacCoss, Michael J., Martins Rodrigues, Fernanda, Nguyen, Ngoc, Oldroyd, Robert, Reva, Boris, Rudnick, Paul, Savage, Sara R., Schnaubelt, Michael, Schraink, Tobias, Shi, Zhiao, Singhal, Deepak, Storrs, Erik, Thangudu, Ratna R., Thiagarajan, Mathangi, Wang, Liang-Bo, Wang, Joshua M., Wen, Bo, Wu, Yige, Wyczalkowski, Matthew A., Xin, Yi, Yao, Lijun, Zhang, Hui, Zhang, Qing, Getz, Gad, Ding, Li, Nesvizhskii, Alexey I., Robles, Ana I., Payne, Samuel H., Lazar, Alexander J., Paulovich, Amanda G., Iavarone, Antonio, Chinnaiyan, Arul M., Druker, Brian J., Kumar-Sinha, Chandan, Newton, Chelsea J., Smith, Richard D., Huntsman, Emily, Schadt, Eric E., An, Eunkyung, Petralia, Francesca, Cho, Hanbyul, Rodriguez, Henry, Zhang, Hui, Kolodziejczak, Iga, Johnson, Jared L., Bavarva, Jasmin, Tan, Jimin, Clauser, Karl R., Krug, Karsten, Cantley, Lewis C., Wiznerowicz, Maciej, Anurag, Meenakshi, Mesri, Mehdi, Gillette, Michael A., Birrer, Michael J., Ceccarelli, Michele, Dhanasekaran, Saravana M., Edwards, Nathan, Tignor, Nicole, Babur, Özgün, Pugliese, Pietro, Jewell, Scott D., Satpathy, Shankha, Chowdhury, Shrabanti, Schürer, Stephan, Carr, Steven A., Hiltke, Tara, Yaron, Tomer M., Liu, Wenke, Song, Yizhe, Zhang, Zhen

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Pan-cancer proteogenomics characterization of tumor immunity von Yaron, Tomer M., Caruso, Francesca Pia, Tignor, Nicole, Wang, Joshua M., Charytonowicz, Daniel, Johnson, Jared L., Huntsman, Emily M., Marino, Giacomo B., Calinawan, Anna, Evangelista, John Erol, Selvan, Myvizhi Esai, Chowdhury, Shrabanti, Krek, Azra, Song, Xiaoyu, Turhan, Berk, Lewis, David A., Deng, Eden Z., Clarke, Daniel J.B., Whiteaker, Jeffrey R., Kennedy, Jacob J., Zhao, Lei, Segura, Rossana Lazcano, Batra, Harsh, Raso, Maria Gabriela, Parra, Edwin Roger, Soundararajan, Rama, Tang, Ximing, Satpathy, Shankha, Wang, Ying, Wiznerowicz, Maciej, Iavarone, Antonio, Reva, Boris, Robles, Ana I., Mani, D.R., Gillette, Michael A., Cieslik, Marcin, Paulovich, Amanda G., Sebra, Robert, Gümüş, Zeynep H., Hostetter, Galen, Fenyö, David, Cantley, Lewis C., Lazar, Alexander J., Wang, Pei, Abelin, Jennifer, Akiyama, Yo, Anurag, Meenakshi, Bavarva, Jasmin, Birger, Chet, Chinnaiyan, Arul M., Cho, Hanbyul, Clauser, Karl, Colaprico, Antonio, da Veiga Leprevost, Felipe, Day, Corbin, Dhanasekaran, Saravana M., Ding, Li, Dou, Yongchao, Druker, Brian J., Edwards, Nathan, Foltz, Steven M., Francis, Alicia, Geffen, Yifat, Heiman, David I., Hu, Yingwei, Jaehnig, Eric J., Katsnelson, Lizabeth, Ketchum, Karen A., Kolodziejczak, Iga, Krug, Karsten, Lei, Jonathan T., Liang, Wen-Wei, Liao, Yuxing, Liu, Tao, Liu, Wenke, McKerrow, Wilson, Mesri, Mehdi, Mumphrey, Michael Brodie, Newton, Chelsea J., Payne, Samuel H., Rodland, Karin D., Rodrigues, Fernanda Martins, Savage, Sara R., Schnaubelt, Michael, Schürer, Stephan, Shi, Zhiao, Smith, Richard D., Song, Feng, Storrs, Erik P., Tan, Jimin, Terekhanova, Nadezhda V., Thangudu, Ratna R., Thiagarajan, Mathangi, Wu, Yige, Wyczalkowski, Matthew A., Yao, Lijun, Li, Qing Kay, Zhang, Hui, Zhang, Xu, Zhang, Zhen

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Deep learning integrates histopathology and proteogenomics at a pan-cancer level von Wang, Joshua M, Hong, Runyu, Demicco, Elizabeth G, Tan, Jimin, Lazcano, Rossana, Moreira, Andre L, Li, Yize, Calinawan, Anna, Razavian, Narges, Schraink, Tobias, Gillette, Michael A, Omenn, Gilbert S, An, Eunkyung, Rodriguez, Henry, Tsirigos, Aristotelis, Ruggles, Kelly V, Ding, Li, Robles, Ana I, Mani, D R, Rodland, Karin D, Lazar, Alexander J, Liu, Wenke, Fenyö, David

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Cytopathology in the diagnostic appraisal of uncommon malignant neoplastic lesions von Kalogeraki, A, Derdas, S, Karvela-Kalogeraki, I, Karvelas-Kalogerakis, M, Segredakis, G, Stathias, K, Sinatkas, V, Tamiolakis, D

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