Tim Beissbarth

发表

Accelerating Simulations in R using Automatically Generated GPGPU-Code

Frank Kramer, Andreas Leha, Tim Beissbarth, 2011 .

Nested effects models for learning signaling networks from perturbation data

Achim Tresch, Holger Fröhlich, Tim Beissbarth, 2009, Biometrical journal. Biometrische Zeitschrift.

Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer

Frank Kramer, Andreas Leha, Tim Beissbarth, 2019, GMDS.

Reconstruction of Different Modes of WNT Dependent Protein Networks from Time Series Protein Quantification

Ulrike Korf, Tim Beissbarth, Annalen Bleckmann, 2019, GMDS.

Statistical modeling of sequencing errors in SAGE libraries.

Terence P Speed, Tim Beissbarth, Gordon K Smyth, 2004, Bioinformatics.

Circulating miRNAs are correlated with tumor progression in prostate cancer

Holger Sültmann, Tim Beissbarth, Thorsten Schlomm, 2011, International journal of cancer.

Hoxa9 and Meis1 Cooperatively Induce Addiction to Syk Signaling by Suppressing miR-146a in Acute Myeloid Leukemia

Gabriela Alexe, Tobias Berg, Hanibal Bohnenberger, 2017, Cancer cell.

Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas

Rainer König, Axel Benner, Barbara Hero, 2008, Genome Biology.

Leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients

Harald Binder, Christine Porzelius, Tim Beissbarth, 2011, Biometrical journal. Biometrische Zeitschrift.

Whither systems medicine?

Ingo Roeder, Olaf Wolkenhauer, Nils Blüthgen, 2018, Experimental & Molecular Medicine.

A new analysis approach of epidermal growth factor receptor pathway activation patterns provides insights into cetuximab resistance mechanisms in head and neck cancer

Tim Beissbarth, Silvia von der Heyde, 2012, BMC Medicine.

Integrative analysis of RUNX1 downstream pathways and target genes

Matthew E Ritchie, Matthew E. Ritchie, Terence P Speed, 2008, BMC Genomics.

Effects of infiltrating lymphocytes and estrogen receptor on gene expression and prognosis in breast cancer

Axel Benner, Holger Sültmann, Annemarie Poustka, 2009, Breast Cancer Research and Treatment.

The Rectal Cancer microRNAome – microRNA Expression in Rectal Cancer and Matched Normal Mucosa

Jochen Gaedcke, B. Michael Ghadimi, Thomas Ried, 2012, Clinical Cancer Research.

Quantitative protein microarrays for time‐resolved measurements of protein phosphorylation

Achim Tresch, Ursula Klingmüller, Annemarie Poustka, 2008, Proteomics.