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A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.

T. Kang, W. Ding, L. Zhang, D. Ziemek, and K. Zarringhalam. BMC Bioinformatics, 18 (1): 565:1-565:11 (2017)

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Daniel Holder University of Stuttgart

Daniel Sollich University of Stuttgart

Daniel Mezger University of Stuttgart

Univ. -Prof. Dr. Daniel Hole University of Stuttgart

Daniel Georg University of Stuttgart

Other publications of authors with the same name

Causal reasoning on biological networks: interpreting transcriptional changes.L. Chindelevitch, D. Ziemek, A. Enayetallah, R. Randhawa, B. Sidders, C. Brockel, and E. Huang. Bioinformatics, 28 (8): 1114-1121 (2012)GeneTopics - interpretation of gene sets via literature-driven topic models.V. Wang, L. Xi, A. Enayetallah, E. Fauman, and D. Ziemek. BMC Systems Biology, 7 (S-5): S10 (2013)Assessing statistical significance in causal graphs.L. Chindelevitch, P. Loh, A. Enayetallah, B. Berger, and D. Ziemek. BMC Bioinformatics, (2012)Molecular causes of transcriptional response: a Bayesian prior knowledge approach.K. Zarringhalam, A. Enayetallah, A. Gutteridge, B. Sidders, and D. Ziemek. Bioinformatics, 29 (24): 3167-3173 (2013)Robust clinical outcome prediction based on Bayesian analysis of transcriptional profiles and prior causal networks.K. Zarringhalam, A. Enayetallah, P. Reddy, and D. Ziemek. Bioinformatics, 30 (12): 69-77 (2014)Causal Reasoning on Biological Networks: Interpreting Transcriptional Changes - (Extended Abstract).L. Chindelevitch, D. Ziemek, A. Enayetallah, R. Randhawa, B. Sidders, C. Brockel, and E. Huang. RECOMB, volume 6577 of Lecture Notes in Computer Science, page 34-37. Springer, (2011)Network-Driven Analysis Methods and their Application to Drug Discovery.D. Ziemek, and C. Brockel. Handbook of Research on Computational and Systems Biology, IGI Global, (2011)Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge.C. Huang, J. Lamb, L. Chindelevitch, J. Kostrowicki, J. Guinney, C. DeLisi, and D. Ziemek. BMC Bioinformatics, (2012)Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks.C. Fakhry, P. Choudhary, A. Gutteridge, B. Sidders, P. Chen, D. Ziemek, and K. Zarringhalam. BMC Bioinformatics, (2016)A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.T. Kang, W. Ding, L. Zhang, D. Ziemek, and K. Zarringhalam. BMC Bioinformatics, 18 (1): 565:1-565:11 (2017)

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Disambiguation of "Ziemek, Daniel"

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A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.

Please choose a person to relate this publication to

Daniel Holder University of Stuttgart

Daniel Sollich University of Stuttgart

Daniel Mezger University of Stuttgart

Univ. -Prof. Dr. Daniel Hole University of Stuttgart

Daniel Georg University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Ziemek, Daniel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.

Please choose a person to relate this publication to

Daniel Holder University of Stuttgart

Daniel Sollich University of Stuttgart

Daniel Mezger University of Stuttgart

Univ. -Prof. Dr. Daniel Hole University of Stuttgart

Daniel Georg University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.