Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Kaixian, Yu"'
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Bayesian networks (BNs) provide a probabilistic, graphical framework for modeling high-dimensional joint distributions with complex correlation structures. BNs have wide applications in many disciplines, including biology, social science, finance and
Externí odkaz:
https://doaj.org/article/f4d512a1e9d94907830b11973871dde9
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss S2, Pp 35-43 (2018)
Abstract Background Relationships between bio-entities (genes, proteins, diseases, etc.) constitute a significant part of our knowledge. Most of this information is documented as unstructured text in different forms, such as books, articles and on-li
Externí odkaz:
https://doaj.org/article/7250825a265b4349852741892daedffe
Autor:
Kaixian Yu, Youyi Zhang, Yang Yu, Chao Huang, Rongjie Liu, Tengfei Li, Liuqing Yang, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, Hongtu Zhu
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 7, Iss , Pp 49-54 (2017)
Human Papilloma Virus (HPV) has been associated with oropharyngeal cancer prognosis. Traditionally the HPV status is tested through invasive lab test. Recently, the rapid development of statistical image analysis techniques has enabled precise quanti
Externí odkaz:
https://doaj.org/article/db2323abbc25433aa6171b58c6ffd751
Autor:
Jennifer S. Myers, Karin A. Vallega, Jason White, Kaixian Yu, Clayton C. Yates, Qing-Xiang Amy Sang
Publikováno v:
BMC Cancer, Vol 17, Iss 1, Pp 1-18 (2017)
Abstract Background While many factors may contribute to the higher prostate cancer incidence and mortality experienced by African-American men compared to their counterparts, the contribution of tumor biology is underexplored due to inadequate avail
Externí odkaz:
https://doaj.org/article/3b7fbc54e52e44e6840cfeb87cecc8db
Autor:
Hesham Elhalawani, Timothy A. Lin, Stefania Volpe, Abdallah S. R. Mohamed, Aubrey L. White, James Zafereo, Andrew J. Wong, Joel E. Berends, Shady AboHashem, Bowman Williams, Jeremy M. Aymard, Aasheesh Kanwar, Subha Perni, Crosby D. Rock, Luke Cooksey, Shauna Campbell, Pei Yang, Khahn Nguyen, Rachel B. Ger, Carlos E. Cardenas, Xenia J. Fave, Carlo Sansone, Gabriele Piantadosi, Stefano Marrone, Rongjie Liu, Chao Huang, Kaixian Yu, Tengfei Li, Yang Yu, Youyi Zhang, Hongtu Zhu, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, John W. Shumway, Alakonanda Ghosh, Andrei Pöhlmann, Hady A. Phoulady, Vibhas Goyal, Guadalupe Canahuate, G. Elisabeta Marai, David Vock, Stephen Y. Lai, Dennis S. Mackin, Laurence E. Court, John Freymann, Keyvan Farahani, Jayashree Kaplathy-Cramer, Clifton D. Fuller
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
Radiomics leverages existing image datasets to provide non-visible data extraction via image post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region of interest level. However, the application of radio
Externí odkaz:
https://doaj.org/article/0470a3fe0ec44bbd97b0008f84f49829
Autor:
Yujie Jiang, Kaixian Yu, Matthew D. Montierth, Shuangxi Ji, Seung Jun Shin, Shuai Guo, Shaolong Cao, Yuxin Tang, Scott Kopetz, Pavlos Msaouel, Jennifer R. Wang, Marek Kimmel, Peter Van Loo, Hongtu Zhu, Wenyi Wang
Publikováno v:
Cancer Research. 83:4272-4272
Subpopulations of tumor cells characterized by mutation profiles may confer differential fitness and consequently influence the prognosis of cancers. Understanding subclonal architecture has the potential to provide biological insight in tumor evolut
Autor:
Shaolong Cao, Jennifer R. Wang, Shuangxi Ji, Peng Yang, Yaoyi Dai, Shuai Guo, Matthew D. Montierth, John Paul Shen, Xiao Zhao, Jingxiao Chen, Jaewon James Lee, Paola A. Guerrero, Nicholas Spetsieris, Nikolai Engedal, Sinja Taavitsainen, Kaixian Yu, Julie Livingstone, Vinayak Bhandari, Shawna M. Hubert, Najat C. Daw, P. Andrew Futreal, Eleni Efstathiou, Bora Lim, Andrea Viale, Jianjun Zhang, Matti Nykter, Bogdan A. Czerniak, Powel H. Brown, Charles Swanton, Pavlos Msaouel, Anirban Maitra, Scott Kopetz, Peter Campbell, Terence P. Speed, Paul C. Boutros, Hongtu Zhu, Alfonso Urbanucci, Jonas Demeulemeester, Peter Van Loo, Wenyi Wang
Publikováno v:
Nature biotechnology, vol 40, iss 11
Single-cell RNA sequencing studies have suggested that total mRNA content correlates with tumor phenotypes. Technical and analytical challenges, however, have so far impeded at-scale pan-cancer examination of total mRNA content. Here we present a met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064f70d12cb281a17970a35f7a835c43
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157741 (2016)
INTRODUCTION:African American (AA) women diagnosed with breast cancer are more likely to have aggressive subtypes. Investigating differentially expressed genes between patient populations may help explain racial health disparities. Resistin, one such
Externí odkaz:
https://doaj.org/article/d89c22e3aee442fbb0b712b73e40f08f
Autor:
Marinescu, Razvan V., Oxtoby, Neil P., Young, Alexandra L., Bron, Esther E., Toga, Arthur W., Weiner, Michael W., Frederik Barkhof, Fox, Nick C., Arman Eshaghi, Tina Toni, Marcin Salaterski, Veronika Lunina, Manon Ansart, Stanley Durrleman, Pascal Lu, Samuel Iddi, Dan Li, Thompson, Wesley K., Donohue, Michael C., Aviv Nahon, Yarden Levy, Dan Halbersberg, Mariya Cohen, Huiling Liao, Tengfei Li, Kaixian Yu, Hongtu Zhu, Tamez-Peña, José G., Aya Ismail, Timothy Wood, Hector Corrada Bravo, Minh Nguyen, Nanbo Sun, Jiashi Feng, Thomas Yeo, B. T., Gang Chen, Ke Qi, Shiyang Chen, Deqiang Qiu, Ionut Buciuman, Alex Kelner, Raluca Pop, Denisa Rimocea, Ghazi, Mostafa M., Mads Nielsen, Sebastien Ourselin, Lauge Sørensen, Vikram Venkatraghavan, Keli Liu, Christina Rabe, Paul Manser, Hill, Steven M., James Howlett, Zhiyue Huang, Steven Kiddle, Sach Mukherjee, Anaïs Rouanet, Bernd Taschler, Tom, Brian D. M., White, Simon R., Noel Faux, Suman Sedai, Javier de Velasco Oriol, Clemente, Edgar E. V., Karol Estrada, Leon Aksman, Andre Altmann, Stonnington, Cynthia M., Yalin Wang, Jianfeng Wu, Vivek Devadas, Clementine Fourrier, Lars Lau Raket, Aristeidis Sotiras, Guray Erus, Jimit Doshi, Christos Davatzikos, Jacob Vogel, Andrew Doyle, Angela Tam, Alex Diaz-Papkovich, Emmanuel Jammeh, Igor Koval, Paul Moore, Lyons, Terry J., John Gallacher, Jussi Tohka, Robert Ciszek, Bruno Jedynak, Kruti Pandya, Murat Bilgel, William Engels, Joseph Cole, Polina Golland, Stefan Klein, Alexander, Daniel C.
Publikováno v:
Machine Learning for Biomedical Imaging, 1
EUR Research Portal
EUR Research Portal
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab0e7be456a19285c3315e5245732697
https://pure.eur.nl/en/publications/d50d3c2a-cf7b-42d1-84b4-d4faacfe53e6
https://pure.eur.nl/en/publications/d50d3c2a-cf7b-42d1-84b4-d4faacfe53e6
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Frontiers in Genetics
Frontiers in Genetics
Bayesian networks (BNs) provide a probabilistic, graphical framework for modeling high-dimensional joint distributions with complex correlation structures. BNs have wide applications in many disciplines, including biology, social science, finance and