Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Damjan Krstajic"'
Autor:
Damjan Krstajic
Publikováno v:
Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-5 (2019)
Abstract Recently Bosc et al. (J Cheminform 11(1): 4, 2019), published an article describing a case study that directly compares conformal predictions with traditional QSAR methods for large-scale predictions of target-ligand binding. We consider thi
Externí odkaz:
https://doaj.org/article/7c28ea7f92ac4a74928dd4dbebce9cef
Autor:
Damjan Krstajic
Publikováno v:
Journal of chemical information and modeling. 61(10)
In recent years there has been an increase in the number of scientific papers that suggest using conformal predictions in drug discovery. We consider that some versions of conformal predictions applied in binary settings are embroiled in pitfalls, no
Autor:
Damjan Krstajic
We are of the opinion that during the design of a binary classifier one ought to consider adding an “I don’t know” answer. We provide the case for the introduction of this third category when a human needs to make a decision based on the answer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4aa4692a3ffc4083a15d9c816588245
https://doi.org/10.20944/preprints202108.0521.v1
https://doi.org/10.20944/preprints202108.0521.v1
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
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
Autor:
Damjan Krstajic, Sharon A. Savage, Marsha Blauwkamp, Shahinaz M. Gadalla, David Loftus, Katharine C. Hsu, Tao Wang, Katharina Fleischhauer, Michael R. Verneris, Ljubomir Buturovic, Lyssa Friedman, Casey L. Dagnall, Michael Haagenson, Stephanie J. Lee, Jason Shelton, Kristine Jones, Belynda Hicks, Stephen R. Spellman
Recent studies suggest improved survival in patients with severe aplastic anemia receiving hematopoietic cell transplant (HCT) from unrelated donors with longer telomeres. Here, we tested whether this effect is generalizable to patients with acute le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfc57cb8d1cbb21fbc61482fd6e7c4f2
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85038620776
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85038620776
Autor:
Damjan Krstajic, Ljubomir Buturovic
Publikováno v:
12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL).
Personalized medicine is widely expected to play a key role in the future of healthcare. It is based on new technologies which enable us to find genetic differences between individuals and as a result give us a chance to identify patients likely to b
Publikováno v:
Journal of Cheminformatics
Background We address the problem of selecting and assessing classification and regression models using cross-validation. Current state-of-the-art methods can yield models with high variance, rendering them unsuitable for a number of practical applic
Autor:
Damjan Krstajic, Ljubomir Buturovic
Publikováno v:
International Journal of Epidemiology. 44:1738-1739
Autor:
Karen B. Chapman, Igor Dumbadze, Damjan Krstajic, Daniel Saltzstein, Liqun Qiu, James Bailen, Ljubomir Buturovic, Lyssa Friedman, Matthew T. Olson, Nadia Sheibani, Jennifer Kidd, Neal D. Shore
Publikováno v:
Journal of Clinical Oncology. 34:11522-11522
11522Background: The detection of bladder cancer in patients presenting with hematuria or for recurrence surveillance is routinely accomplished with a combination of urine cytology and cystoscopy, ...
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