Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways Mark L. Grimes1*, Wan-Jui Lee2, Laurens van der Maaten2, Paul Shannon3 1 Division of Biological Sciences, University of Montana, Missoula, Montana, U

First Page		Document Content
Date: 2016-07-16 15:30:43 Tyrosine kinase receptors Statistics Cluster analysis Data analysis Computational statistics Hierarchical clustering Network analysis Anaplastic lymphoma kinase K-means clustering Tyrosine kinase Dendrogram Epidermal growth factor receptor		Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways Mark L. Grimes1*, Wan-Jui Lee2, Laurens van der Maaten2, Paul Shannon3 1 Division of Biological Sciences, University of Montana, Missoula, Montana, U Add to Reading List Source URL: lvdmaaten.github.io Download Document from Source Website File Size: 1,77 MB Share Document on Facebook

	TARANET: Traffic-Analysis Resistant Anonymity at the Network Layer Chen Chen Daniele E. Asoni DocID: 1xVHd - View Document
	arXiv:1802.08415v1 [cs.CR] 23 FebTARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer Chen Chen DocID: 1xVuF - View Document
	iTAP: In-network Traffic Analysis Prevention using Software-Defined Networks https://itap.ethz.ch Roland Meier DocID: 1xUBt - View Document
	iTAP: In-network Traffic Analysis Prevention using Software-Defined Networks https://itap.ethz.ch Roland Meier DocID: 1xTNw - View Document
	Leveraging Internet Background Radiation for Opportunistic Network Analysis Karyn Benson∗† , Alberto Dainotti† , kc claffy† , Alex C. Snoeren∗ , Michael Kallitsis‡ ∗ Computer Science and Engineering, UC Sa DocID: 1xTnc - View Document