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Št. zadetkov: 3
IGF2 and IGF1R identified as novel tip cell genes in primary microvascular endothelial cell monolayers
Marchien G. Dallinga, Bahar Yetkin-Arik, Richelle P. Kayser, Ilse M.C. Vogels, Patrycja Nowak-Sliwinska, Arjan W. Griffioen, Cornelis J. F. van Noorden, Ingeborg Klaassen, Reinier O. Schlingemann
Izvirni znanstveni članek
Oznake: biokemija;angiogeneza;endotelne celice;CD34;IGF2;Angiogenesis;tip cells;endothelial cells;cultured cells;endothelial growth factors;
Tip cells, the leading cells of angiogenic sprouts, were identified in cultures of human umbilical vein endothelial cells (HUVECs) by using CD34 as a marker. Here, we show that tip cells are also present in primary human microvascular endothelial cells (hMVECs), a more relevant endothelial cell type ...
Leto: 2018 Vir: Nacionalni inštitut za biologijo (NIB)
Angiogenesis in gynecological cancers and the options for anti-angiogenesis therapy
Bahar Yetkin-Arik, Arnoud W. Kastelein, Ingeborg Klaassen, Charlotte H. J. R. Jansen, Yani P. Latul, Miloš Vittori, Aydan Biri, Korhan Kahraman, Arjan W. Griffioen, Frederic Amant, Christianne A. R. Lok, Reinier O. Schlingemann, Cornelis J. F. van Noorden
Pregledni znanstveni članek
Oznake: angiogeneza;antiangiogena terapija;tumorsko mikrookolje;ginekološki raki;angiogenesis;anti-angiogenic therapy;endothelial cells;endothelial cell metabolism;gynecological cancer;non-tip cells;tip cells;tumor microenvironment;vascular disrupting agents;
Angiogenesis is required in cancer, including gynecological cancers, for the growth of primary tumors and secondary metastases. Development of anti-angiogenesis therapy in gynecological cancers and improvement of its efficacy have been a major focus of fundamental and clinical research. However, sur ...
Leto: 2021 Vir: Repozitorij Univerze v Ljubljani (RUL)
Optimising the Topology of Complex Neural Networks
Robert Griffioen
Video in druga učna gradiva
Oznake: computer science;machine learning;neural networks
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighbourhood relationships are defined by a complex network, to classify handwritten digits. We show that topology has a small impact on perfo ...
Leto: 2007 Vir: videolectures.net
Št. zadetkov: 3
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