Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Pržulj, Nataša"'
Random walks are widely used for mining networks due to the computational efficiency of computing them. For instance, graph representation learning learns a d-dimensional embedding space, so that the nodes that tend to co-occur on random walks (a pro
Externí odkaz:
http://arxiv.org/abs/2405.14194
Autor:
Przulj, Natasa, Malod-Dognin, Noel
Heterogeneous, interconnected, systems-level, molecular data have become increasingly available and key in precision medicine. We need to utilize them to better stratify patients into risk groups, discover new biomarkers and targets, repurpose known
Externí odkaz:
http://arxiv.org/abs/2405.09595
Autor:
Zitnik, Marinka, Li, Michelle M., Wells, Aydin, Glass, Kimberly, Gysi, Deisy Morselli, Krishnan, Arjun, Murali, T. M., Radivojac, Predrag, Roy, Sushmita, Baudot, Anaïs, Bozdag, Serdar, Chen, Danny Z., Cowen, Lenore, Devkota, Kapil, Gitter, Anthony, Gosline, Sara, Gu, Pengfei, Guzzi, Pietro H., Huang, Heng, Jiang, Meng, Kesimoglu, Ziynet Nesibe, Koyuturk, Mehmet, Ma, Jian, Pico, Alexander R., Pržulj, Nataša, Przytycka, Teresa M., Raphael, Benjamin J., Ritz, Anna, Sharan, Roded, Shen, Yang, Singh, Mona, Slonim, Donna K., Tong, Hanghang, Yang, Xinan Holly, Yoon, Byung-Jun, Yu, Haiyuan, Milenković, Tijana
Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scales. Although the field has been a
Externí odkaz:
http://arxiv.org/abs/2309.08478
Autor:
Maier, Andreas, Hartung, Michael, Abovsky, Mark, Adamowicz, Klaudia, Bader, Gary D., Baier, Sylvie, Blumenthal, David B., Chen, Jing, Elkjaer, Maria L., Garcia-Hernandez, Carlos, Helmy, Mohamed, Hoffmann, Markus, Jurisica, Igor, Kotlyar, Max, Lazareva, Olga, Levi, Hagai, List, Markus, Lobentanzer, Sebastian, Loscalzo, Joseph, Malod-Dognin, Noel, Manz, Quirin, Matschinske, Julian, Mee, Miles, Oubounyt, Mhaned, Pico, Alexander R., Pillich, Rudolf T., Poschenrieder, Julian M., Pratt, Dexter, Pržulj, Nataša, Sadegh, Sepideh, Saez-Rodriguez, Julio, Sarkar, Suryadipto, Shaked, Gideon, Shamir, Ron, Trummer, Nico, Turhan, Ugur, Wang, Ruisheng, Zolotareva, Olga, Baumbach, Jan
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerg
Externí odkaz:
http://arxiv.org/abs/2305.15453
Autor:
Hribar, Rok, Hrga, Timotej, Papa, Gregor, Petelin, Gašper, Povh, Janez, Pržulj, Nataša, Vukašinović, Vida
In this paper, we consider the symmetric multi-type non-negative matrix tri-factorization problem (SNMTF), which attempts to factorize several symmetric non-negative matrices simultaneously. This can be considered as a generalization of the classical
Externí odkaz:
http://arxiv.org/abs/2012.05963
With the advancement of high-throughput biotechnologies, we increasingly accumulate biomedical data about diseases, especially cancer. There is a need for computational models and methods to sift through, integrate, and extract new knowledge from the
Externí odkaz:
http://arxiv.org/abs/2007.01107
Akademický článek
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Autor:
Gaudelet, Thomas, Malod-Dognin, Noel, Sanchez-Valle, Jon, Pancaldi, Vera, Valencia, Alfonso, Przulj, Natasa
Publikováno v:
PLOS ONE, 15(4), p.e0231059 (2020)
Diseases involve complex processes and modifications to the cellular machinery. The gene expression profile of the affected cells contains characteristic patterns linked to a disease. Hence, biological knowledge pertaining to a disease can be derived
Externí odkaz:
http://arxiv.org/abs/1901.10005
Molecular interactions have widely been modelled as networks. The local wiring patterns around molecules in molecular networks are linked with their biological functions. However, networks model only pairwise interactions between molecules and cannot
Externí odkaz:
http://arxiv.org/abs/1804.05003