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Minimum-overlap Clusterings and the Sparsity of Overcomplete Decompositions of Binary Matrices., and . ICCS, volume 51 of Procedia Computer Science, page 2967-2971. Elsevier, (2015)Finding Modules in Networks with Non-modular Regions., , and . SEA, volume 7933 of Lecture Notes in Computer Science, page 188-199. Springer, (2013)Better Interpretable Models for Proteomics Data Analysis Using Rule-Based Mining., and . BIRS-IMLKE, volume 10344 of Lecture Notes in Computer Science, page 67-88. Springer, (2015)Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction., and . IWBBIO, volume 9656 of Lecture Notes in Computer Science, page 135-146. Springer, (2016)Learning Chemical Reaction Networks from Trajectory Data., , , and . SIAM J. Applied Dynamical Systems, 18 (4): 2000-2046 (2019)Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data., , , , , , , and . BMC Bioinformatics, 18 (1): 160:1-160:20 (2017)Deep Learning for Proteomics Data for Feature Selection and Classification., and . CD-MAKE, volume 11713 of Lecture Notes in Computer Science, page 301-316. Springer, (2019)Convergent discretisation schemes for transition path theory for diffusion processes., , and . CoRR, (2019)Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level., , , , , , and . CompLife, volume 4216 of Lecture Notes in Computer Science, page 119-128. Springer, (2006)