Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators

Autor: Eyal Gofer, Guy Gilboa

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031319747

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b384c8a5d8a336728529ea9eb9efa603
https://doi.org/10.1007/978-3-031-31975-4_3

Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

Autor: Justin Guinney, Tao Wang, Teemu D Laajala, Kimberly Kanigel Winner, J Christopher Bare, Elias Chaibub Neto, Suleiman A Khan, Gopal Peddinti, Antti Airola, Tapio Pahikkala, Tuomas Mirtti, Thomas Yu, Brian M Bot, Liji Shen, Kald Abdallah, Thea Norman, Stephen Friend, Gustavo Stolovitzky, Howard Soule, Christopher J Sweeney, Charles J Ryan, Howard I Scher, Oliver Sartor, Yang Xie, Tero Aittokallio, Fang Liz Zhou, James C Costello, Catalina Anghe, Helia Azima, Robert Baertsch, Pedro J Ballester, Chris Bare, Vinayak Bhandari, Cuong C Dang, Maria Bekker-Nielsen Dunbar, Ann-Sophie Buchardt, Ljubomir Buturovic, Da Cao, Prabhakar Chalise, Junwoo Cho, Tzu-Ming Chu, R Yates Coley, Sailesh Conjeti, Sara Correia, Ziwei Dai, Junqiang Dai, Philip Dargatz, Sam Delavarkhan, Detian Deng, Ankur Dhanik, Yu Du, Aparna Elangovan, Shellie Ellis, Laura L Elo, Shadrielle M Espiritu, Fan Fan, Ashkan B Farshi, Ana Freitas, Brooke Fridley, Christiane Fuchs, Eyal Gofer, Gopalacharyulu Peddinti, Stefan Graw, Russ Greiner, Yuanfang Guan, Jing Guo, Pankaj Gupta, Anna I Guyer, Jiawei Han, Niels R Hansen, Billy HW Chang, Outi Hirvonen, Barbara Huang, Chao Huang, Jinseub Hwang, Joseph G Ibrahim, Vivek Jayaswa, Jouhyun Jeon, Zhicheng Ji, Deekshith Juvvadi, Sirkku Jyrkkiö, Kimberly Kanigel-Winner, Amin Katouzian, Marat D Kazanov, Shahin Khayyer, Dalho Kim, Agnieszka K Golinska, Devin Koestler, Fernanda Kokowicz, Ivan Kondofersky, Norbert Krautenbacher, Damjan Krstajic, Luke Kumar, Christoph Kurz, Matthew Kyan, Michael Laimighofer, Eunjee Lee, Wojciech Lesinski, Miaozhu Li, Ye Li, Qiuyu Lian, Xiaotao Liang, Minseong Lim, Henry Lin, Xihui Lin, Jing Lu, Mehrad Mahmoudian, Roozbeh Manshaei, Richard Meier, Dejan Miljkovic, Krzysztof Mnich, Nassir Navab, Elias C Neto, Yulia Newton, Subhabrata Pal, Byeongju Park, Jaykumar Patel, Swetabh Pathak, Alejandrina Pattin, Donna P Ankerst, Jian Peng, Anne H Petersen, Robin Philip, Stephen R Piccolo, Sebastian Pölsterl, Aneta Polewko-Klim, Karthik Rao, Xiang Ren, Miguel Rocha, Witold R. Rudnicki, Hyunnam Ryu, Hagen Scherb, Raghav Sehgal, Fatemeh Seyednasrollah, Jingbo Shang, Bin Shao, Howard Sher, Motoki Shiga, Artem Sokolov, Julia F Söllner, Lei Song, Josh Stuart, Ren Sun, Nazanin Tahmasebi, Kar-Tong Tan, Lisbeth Tomaziu, Joseph Usset, Yeeleng S Vang, Roberto Vega, Vitor Vieira, David Wang, Difei Wang, Junmei Wang, Lichao Wang, Sheng Wang, Yue Wang, Russ Wolfinger, Chris Wong, Zhenke Wu, Jinfeng Xiao, Xiaohui Xie, Doris Xin, Hojin Yang, Nancy Yu, Xiang Yu, Sulmaz Zahedi, Massimiliano Zanin, Chihao Zhang, Jingwen Zhang, Shihua Zhang, Yanchun Zhang, Hongtu Zhu, Shanfeng Zhu, Yuxin Zhu

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Lancet Oncol. 18, 132-142 (2017)
Guinney, J, Wang, T, Laajala, T D, Winner, K K, Bare, J C, Neto, E C, Khan, S A, Peddinti, G, Airola, A, Pahikkala, T, Mirtti, T, Yu, T, Bot, B M, Shen, L, Abdallah, K, Norman, T, Friend, S, Stolovitzky, G, Soule, H, Sweeney, C J, Ryan, C J, Scher, H I, Sartor, O, Xie, Y, Aittokallio, T, Zhou, F L, Costello, J C & Prostate Cancer Challenge DREAM Community 2017, ' Prediction of overall survival for patients with metastatic castration-resistant prostate cancer : development of a prognostic model through a crowdsourced challenge with open clinical trial data ', The Lancet: Oncology, vol. 18, no. 1, pp. 132-142 . https://doi.org/10.1016/S1470-2045(16)30560-5

Background: Improvements to prognostic models in metastatic castration-resistant prostate cancer have the potential to augment clinical trial design and guide treatment strategies. In partnership with Project Data Sphere, a not-for-profit initiative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e29c71ca03dc8018abacbcb6b41b185
https://doi.org/10.1016/s1470-2045(16)30560-5

A community-based collaboration to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer

Autor: Laura L. Elo, Chris Bare, Justin Guinney, Howard I. Scher, Charles J. Ryan, Thea Norman, Russell D. Wolfinger, Russell Greiner, Kald Abdallah, Liji Shen, Tao Wang, Kimberly Kanigel Winner, Fang Liz Zhou, Christopher Sweeney, Eyal Gofer, Gustavo Stolovitzky, Fatemeh Seyednasrollah, Christiane Fuchs, Pcc-Dream Community, Stephen R. Piccolo, Thomas Yu, Elias Chaibub Neto, Oliver Sartor, Luke Kumar, James C. Costello, Howard R. Soule, Devin C. Koestler, Roberto Vega

BackgroundDocetaxel has a demonstrated survival benefit for metastatic castration-resistant prostate cancer (mCRPC). However, 10-20% of patients discontinue docetaxel prematurely because of toxicity-induced adverse events, and managing risk factors f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c08294d908cb825f87a3df8274685d
https://doi.org/10.1101/087809

Predicting proteolytic sites in extracellular proteins: only halfway there

Autor: Avihay Apatoff, Assaf Wool, Amir Toporik, Yossef Kliger, Moshe Olshansky, Eyal Gofer

Publikováno v: Bioinformatics

Motivation: Many secretory proteins are synthesized as inactive precursors that must undergo post-translational proteolysis in order to mature and become active. In the current study, we address the challenge of sequence-based discovery of proteolyti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a20fccdaf5afc04f4d96bfee280351f
http://europepmc.org/articles/PMC7109841

Pricing Exotic Derivatives Using Regret Minimization

Autor: Eyal Gofer, Yishay Mansour

Publikováno v: Algorithmic Game Theory ISBN: 9783642248283
SAGT

We price various financial instruments, which are classified as exotic options, using the regret bounds of an online algorithm. In addition, we derive a general result, which upper bounds the price of any derivative whose payoff is a convex function

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a47b395860a5f03e4ccb48ce553b27c6
https://doi.org/10.1007/978-3-642-24829-0_24