K
Krishnendu Chatterjee
Researcher at Institute of Science and Technology Austria
Publications - 574
Citations - 14189
Krishnendu Chatterjee is an academic researcher from Institute of Science and Technology Austria. The author has contributed to research in topics: Markov decision process & Probabilistic logic. The author has an hindex of 54, co-authored 551 publications receiving 12505 citations. Previous affiliations of Krishnendu Chatterjee include University of California, Berkeley & University of California, Santa Cruz.
Papers
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Journal ArticleDOI
Evolutionary dynamics of cancer in response to targeted combination therapy
Ivana Bozic,Johannes G. Reiter,Benjamin L. Allen,Benjamin L. Allen,Tibor Antal,Krishnendu Chatterjee,Preya Shah,Yo Sup Moon,Amin Yaqubie,Nicole Kelly,Dung T. Le,Evan J. Lipson,Paul B. Chapman,Luis A. Diaz,Bert Vogelstein,Martin A. Nowak +15 more
TL;DR: It is found that dual therapy results in long-term disease control for most patients, if there are no single mutations that cause cross-resistance to both drugs; in patients with large disease burden, triple therapy is needed.
Journal ArticleDOI
Limited heterogeneity of known driver gene mutations among the metastases of individual patients with pancreatic cancer
Alvin Makohon-Moore,Ming Zhang,Johannes G. Reiter,Ivana Bozic,Benjamin L. Allen,Benjamin L. Allen,Deepanjan Kundu,Krishnendu Chatterjee,Fay Wong,Yuchen Jiao,Zachary A. Kohutek,Jungeui Hong,Marc A. Attiyeh,Breanna Javier,Laura D. Wood,Ralph H. Hruban,Martin A. Nowak,Nickolas Papadopoulos,Kenneth W. Kinzler,Bert Vogelstein,Bert Vogelstein,Christine A. Iacobuzio-Donahue +21 more
TL;DR: The genetic similarity among the founding cells of metastases was higher than that expected for any two cells randomly taken from a normal tissue and has critical and encouraging implications for the success of future targeted therapies in advanced-stage disease.
Journal ArticleDOI
Algorithms for Omega-Regular Games with Imperfect Information
TL;DR: An algorithm for computing the set of states from which a player can win with probability 1 with a randomized observation-based strategy for a Buechi objective is given and it is shown that these algorithms are optimal by proving matching lower bounds.
Proceedings ArticleDOI
Assigning trust to Wikipedia content
TL;DR: A system that computes quantitative values of trust for the text in Wikipedia articles; these trust values provide an indication of text reliability, and it is shown that text labeled as low-trust has a significantly higher probability of being edited in the future than text labeling as high-trust.
Book ChapterDOI
Better Quality in Synthesis through Quantitative Objectives
TL;DR: In this paper, the synthesis of optimal implementations requires the solution of lexicographic mean-payoff games (for safety requirements), and games with both lexicoographic mean payoff and parity objectives (for liveness requirements).