Basic Phenotypes of Endocytic System Recognized by Independent Phenotypes Analysis of a High-throughput Genomic Screen-Reference-Cited by-同舟云学术

Basic Phenotypes of Endocytic System Recognized by Independent Phenotypes Analysis of a High-throughput Genomic Screen

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Computational Biology and Bioinformatics - ICCBB '19
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Author:

Nikitina Kseniia¹,Segeletz Sandra¹,Kuhn Michael²,Kalaidzidis Yannis¹,Zerial Marino¹

Affiliation:

1. Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

2. Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany and Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany

Publisher

ACM Press

Reference18 articles.

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3. Collinet, C., Stöter, M., Bradshaw, C.R., Samusik, N., Rink, J.C., Kenski, D., Habermann, B., Buchholz, F., Henschel, R., Mueller, M.S. and Nagel, W.E., 2010. Systems survey of endocytosis by multiparametric image analysis. Nature, 464(7286), p.243.

4. Jutten, C. and Herault, J., 1991. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal processing, 24(1), pp. 1--10.

5. Amari, S.I., Cichocki, A. and Yang, H.H., 1996. A new learning algorithm for blind signal separation. In Advances in neural information processing systems (pp. 757--763).

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