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Journal ArticleDOI
IDES: An Internet Distance Estimation Service for Large Networks
TL;DR: A model for representing and predicting distances in large-scale networks by matrix factorization is presented which can model suboptimal and asymmetric routing policies, an improvement on previous approaches and a scalable system is designed and implemented that predicts large numbers of network distances from limited samples of Internet measurements.
Journal ArticleDOI
Glioblastomas acquire myeloid-affiliated transcriptional programs via epigenetic immunoediting to elicit immune evasion.
Ester Gangoso,Benjamin Southgate,Leanne Bradley,Stefanie Rus,Felipe Gálvez-Cancino,Niamh McGivern,Esra Güç,Chantriolnt-Andreas Kapourani,Adam Byron,Kirsty M. Ferguson,Neza Alfazema,Gillian Morrison,Vivien Grant,Carla Blin,IengFong Sou,Maria Angeles Marques-Torrejon,Lucia Conde,Simona Parrinello,Javier Herrero,Stephan Beck,Sebastian Brandner,Paul Brennan,Paul Bertone,Jeffrey W. Pollard,Sergio A. Quezada,Duncan Sproul,Margaret C. Frame,Alan Serrels,Steven M. Pollard +28 more
TL;DR: In this paper, the authors explore the mechanisms underlying immune evasion in GBM by serially transplanting GBM stem cells into immunocompetent hosts, uncovering an acquired capability of GSCs to escape immune clearance by establishing an enhanced immunosuppressive tumor microenvironment.
Proceedings ArticleDOI
Predictive discrete latent factor models for large scale dyadic data
Deepak Agarwal,Srujana Merugu +1 more
TL;DR: A novel statistical method to predict large scale dyadic response variables in the presence of covariate information that simultaneously incorporates the effect of covariates and estimates local structure that is induced by interactions among the dyads through a discrete latent factor model.
Journal ArticleDOI
Extreme learning machines: new trends and applications
TL;DR: An overview of newly derived ELM theories and approaches, and with the ongoing development of multilayer feature representation, some new trends on ELM-based hierarchical learning are discussed.
Journal ArticleDOI
Multiple graph regularized nonnegative matrix factorization
TL;DR: A GrNMF is proposed, called MultiGrNMF, in which the intrinsic manifold is approximated by a linear combination of several graphs with different models and parameters inspired by ensemble manifold regularization, thus resulting in a novel data representation algorithm.
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Pentti Paatero,Unto Tapper +1 more