Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zitnik, Marinka"'
Publikováno v:
Pacific Symposium on Biocomputing 23:111-122(2018)
Discovering disease pathways, which can be defined as sets of proteins associated with a given disease, is an important problem that has the potential to provide clinically actionable insights for disease diagnosis, prognosis, and treatment. Computat
Externí odkaz:
http://arxiv.org/abs/1712.00843
Nodes residing in different parts of a graph can have similar structural roles within their local network topology. The identification of such roles provides key insight into the organization of networks and can be used for a variety of machine learn
Externí odkaz:
http://arxiv.org/abs/1710.10321
Autor:
Zitnik, Marinka, Zupan, Blaz
Publikováno v:
Bioinformatics, 32 (12): i90-i100 (2016)
Motivation: The rapid growth of diverse biological data allows us to consider interactions between a variety of objects, such as genes, chemicals, molecular signatures, diseases, pathways and environmental exposures. Often, any pair of objects--such
Externí odkaz:
http://arxiv.org/abs/1708.03392
Autor:
Zitnik, Marinka, Leskovec, Jure
Publikováno v:
Bioinformatics 2017, 33 (14): i190-i198
Motivation: Understanding functions of proteins in specific human tissues is essential for insights into disease diagnostics and therapeutics, yet prediction of tissue-specific cellular function remains a critical challenge for biomedicine. Results:
Externí odkaz:
http://arxiv.org/abs/1707.04638
Autor:
Žitnik, Marinka, Zupan, Blaž
Publikováno v:
Marinka Zitnik and Blaz Zupan. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(1):41-53 (2015)
For most problems in science and engineering we can obtain data sets that describe the observed system from various perspectives and record the behavior of its individual components. Heterogeneous data sets can be collectively mined by data fusion. F
Externí odkaz:
http://arxiv.org/abs/1307.0803