Repository: Freie Universität Berlin, Math Department

Items where Subject is "Mathematical and Computer Sciences > Artificial Intelligence > Machine Learning"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Creators | Item Type
Jump to: F | J | L | M | N | S | W
Number of items at this level: 9.

F

Fiedler, G. M. and Leichtle, A. and Kase, J. and Baumann, S. and Ceglarek, U. and Felix, K. and Conrad, T. O. F. and Witzigmann, H. and Weimann, A. and Schütte, Ch. and Hauss, J. and Büchler, M. and Thiery, J. (2009) Serum Peptidome Profiling Revealed Platelet Factor 4 as a Potential Discriminating Peptide Associated With Pancreatic Cancer. Clinical Cancer Research, 15 (11). pp. 3812-3819. ISSN 1078-0432

J

Jayrannejad, Fahrnaz and Conrad, T. O. F. (2017) Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining. Springer Lecture Notes in Artificial Intelligence . (In Press)

L

Leichtle, A. and Ceglarek, U. and Weinert, P. and Nakas, C. T. and Nuoffer, J.-M. and Kase, J. and Conrad, T. O. F. and Witzigmann, H. and Thiery, J. and Fiedler, G. M. (2013) Pancreatic carcinoma, pancreatitis, and healthy controls - metabolite models in a three-class diagnostic dilemma. Metabolomics, 9 (3). pp. 677-687. ISSN 1573-3890

M

Mardt, A. and Pasquali, L. and Wu, H. and Noé, F. (2017) VAMPnets: Deep learning of molecular kinetics. arXiv:1710.06012 . (Submitted)

N

Nüske, F. and Wu, H. and Wehmeyer, C. and Clementi, C. and Noé, F. (2017) Markov State Models from short non-Equilibrium Simulations - Analysis and Correction of Estimation Bias. J. Chem. Phys., 146 . 094104.

S

Shao, Borong and Carlo, Cannistraci and Conrad, T. O. F. (2017) Epithelial Mesenchymal Transition Network-based Feature Engineering in Lung Adenocarcinoma Prognosis Prediction Using Multiple Omic Data. Genomics and Computational Biology, 3 (3). ISSN 2365-7154

Strenziok, R. and Hinz, S. and Wolf, C. and Conrad, T. O. F. and Krause, H. and Lingnau, A. and Lein, M. and Miller, K. and Schrader, M. (2008) Serum proteomic profiling by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry in testicular germ cell cancer patients. European Urology Supplements, 7 (3). p. 83.

Strenziok, R. and Hinz, S. and Wolf, C. and Conrad, T. O. F. and Krause, H. and Miller, K. and Schrader, M. (2009) Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry: serum protein profiling in seminoma patients. World J of Urology, 28 (2). pp. 193-197.

W

Wu, H. and Noé, F. (2017) Variational approach for learning Markov processes from time series data. https://arxiv.org/abs/1707.04659 .

This list was generated on Sat Nov 18 22:20:14 2017 CET.