26 citations · 29 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 26 cited
Efficiently predicting high resolution mass spectra with graph neural networks
Michael Murphy, Stefanie Jegelka, Ernest Fraenkel +3
Identifying a small molecule from its mass spectrum is the primary open problem in computational metabolomics. This is typically cast as information retrieval: an unknown spectrum…
q-bio.MN2016★ 3 cited
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
Anthony Gitter, Furong Huang, Ragupathyraj Valluvan +2
Gene expression is a readily-observed quantification of transcriptional activity and cellular state that enables the recovery of the relationships between regulators and their targ…