TY - JOUR T1 - GeNets: A unified web platform for network-based analyses of genomic data JF - bioRxiv DO - 10.1101/196303 SP - 196303 AU - Taibo Li AU - April Kim AU - Joseph Rosenbluh AU - Heiko Horn AU - Liraz Greenfeld AU - David An AU - Andrew Zimmer AU - Arthur Liberzon AU - Jon Bistline AU - Ted Natoli AU - Yang Li AU - Aviad Tsherniak AU - Rajiv Narayan AU - Aravind Subramanian AU - Ted Liefeld AU - Bang Wong AU - Dawn Thompson AU - Sarah Calvo AU - Steve Carr AU - Jesse Boehm AU - Jake Jaffe AU - Jill Mesirov AU - Nir Hacohen AU - Aviv Regev AU - Kasper Lage Y1 - 2018/01/01 UR - http://biorxiv.org/content/early/2018/04/19/196303.abstract N2 - Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to quantitatively compare the signal-to-noise ratio of different networks, the biology they describe, and to identify the optimal network to interpret a particular genetic dataset. Via GeNets users can train a machine-learning model (Quack) to make such comparisons; and they can execute, store, and share analyses of genetic and RNA sequencing datasets. ER -