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Finding the largest few principal components of a matrix of genetic data is a common task in genome-wide association studies (GWASs), both for dimensionality reduction and for identifying unwanted factors of variation. We describe a simple random mat
Externí odkaz:
http://arxiv.org/abs/1808.03374
Autor:
Regier, Jeffrey, Pamnany, Kiran, Fischer, Keno, Noack, Andreas, Lam, Maximilian, Revels, Jarrett, Howard, Steve, Giordano, Ryan, Schlegel, David, McAuliffe, Jon, Thomas, Rollin, Prabhat
Astronomical catalogs derived from wide-field imaging surveys are an important tool for understanding the Universe. We construct an astronomical catalog from 55 TB of imaging data using Celeste, a Bayesian variational inference code written entirely
Externí odkaz:
http://arxiv.org/abs/1801.10277
Nowadays, mobile users have a vast number of applications and services at their disposal. Each of these might impose some privacy threats on users' "Personally Identifiable Information" (PII). Location privacy is a crucial part of PII, and as such, p
Externí odkaz:
http://arxiv.org/abs/1601.00167
Autor:
Noack, Andreas, Rotta, Randolf
Publikováno v:
Proceedings of the 8th International Symposium on Experimental Algorithms (SEA 2009). Lecture Notes in Computer Science 5526, Springer (2009) 257-268
Modularity is one of the most widely used quality measures for graph clusterings. Maximizing modularity is NP-hard, and the runtime of exact algorithms is prohibitive for large graphs. A simple and effective class of heuristics coarsens the graph by
Externí odkaz:
http://arxiv.org/abs/0812.4073
Autor:
Noack, Andreas
Publikováno v:
Phys. Rev. E 79, 026102 (2009)
Two natural and widely used representations for the community structure of networks are clusterings, which partition the vertex set into disjoint subsets, and layouts, which assign the vertices to positions in a metric space. This paper unifies promi
Externí odkaz:
http://arxiv.org/abs/0807.4052
Autor:
Noack, Andreas, Gericke, Birthe, von Köckritz-Blickwede, Maren, Menze, Arne, Noack, Sandra, Gerhauser, Ingo, Osten, Felix, Naim, Hassan Y., Löscher, Wolfgang
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2018 Oct 01. 115(41), E9590-E9599.
Externí odkaz:
https://www.jstor.org/stable/26532222
Autor:
Brandt, Claudia, Hillmann, Petra, Noack, Andreas, Römermann, Kerstin, Öhler, Leon A., Rageot, Denise, Beaufils, Florent, Melone, Anna, Sele, Alexander M., Wymann, Matthias P., Fabbro, Doriano, Löscher, Wolfgang
Publikováno v:
In Neuropharmacology 15 September 2018 140:107-120
Autor:
Beyer, Dirk, Noack, Andreas
CrocoPat is an efficient, powerful and easy-to-use tool for manipulating relations of arbitrary arity, including directed graphs. This manual provides an introduction to and a reference for CrocoPat and its programming language RML. It includes sever
Externí odkaz:
http://arxiv.org/abs/cs/0409009
Autor:
Buchheister, Stephanie, Buettner, Manuela, Basic, Marijana, Noack, Andreas, Breves, Gerhard, Buchen, Barbara, Keubler, Lydia M., Becker, Christoph, Bleich, André
Publikováno v:
In The American Journal of Pathology May 2017 187(5):1106-1120