Tim O. F. Conrad

发表

Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction

Borong Shao, Tim O. F. Conrad, Borong Shao, 2016, IWBBIO.

Reusable building blocks in biological systems

Tim O. F. Conrad, Victor Mireles, T. Conrad, 2018, Journal of the Royal Society Interface.

Minimum-overlap Clusterings and the Sparsity of Overcomplete Decompositions of Binary Matrices

Víctor Mireles, Tim O. F. Conrad, 2015, ICCS.

Finding Modules in Networks with Non-modular Regions

Sharon Bruckner, Tim O. F. Conrad, Bastian Kayser, 2013, SEA.

Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data

Gitta Kutyniok, Jan Vybíral, Christof Schütte, 2015, BMC Bioinformatics.

Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level

Christof Schütte, Joachim Thiery, Tim O. F. Conrad, 2006, CompLife.

Finding metastable states in real-world time series with recurrence networks

Christof Schutte, Tim O. F. Conrad, Iliusi Vega, 2014, 1404.7807.

Deep Learning for Proteomics Data for Feature Selection and Classification

Tim O. F. Conrad, Sahar Iravani, T. Conrad, 2019, CD-MAKE.

Better Interpretable Models for Proteomics Data Analysis Using Rule-Based Mining

Tim O. F. Conrad, Fahrnaz Jayrannejad, T. Conrad, 2017, BIRS-IMLKE.