PuSH - Publication Server of Helmholtz Zentrum München

11 Records found.
Zum Exportieren der Ergebnisse bitte einloggen.
Lay all publications on this page into basket
1.
Hastreiter, S. et al.: Inductive and selective effects of GSK3 and MEK inhibition on nanog heterogeneity in embryonic stem cells. Stem Cell Rep. 10, 58-69 (2018)
2.
Buggenthin, F. et al.: Prospective identification of hematopoietic lineage choice by deep learning. Nat. Methods, DOI: 10.1038/nmeth.4182 (2017)
3.
Endele, M. et al.: CSF-1-induced Src signaling can instruct monocytic lineage choice. Blood 129, 1691-1701 (2017)
4.
Hilsenbeck, O.* et al.: fastER: A user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy. Bioinformatics 33, 2020-2028 (2017)
5.
Hilsenbeck, O. et al.: Software tools for single-cell tracking and quantification of cellular and molecular properties. Nat. Biotechnol. 34, 703-706 (2016)
6.
Hoppe, P.S. et al.: Early myeloid lineage choice is not initiated by random PU.1 to GATA1 protein ratios. Nature 535, 299-302 (2016)
7.
Kokkaliaris, K.D. et al.: Identification of factors promoting ex vivo maintenance of mouse hematopoietic stem cells by long-term single-cell quantification. Blood 128, 1181-1192 (2016)
8.
Filipczyk, A. et al.: Network plasticity of pluripotency transcription factors in embryonic stem cells. Nat. Cell Biol. 17, 1235-1246 (2015)
9.
Hilsenbeck, O.: Maximally interesting extremal regions (MINER) and a probabilistic model for cell tracking. München, Ludwig-Maximilians-Universität & Technische Universität, Bioinformatik, Master-Thesis, 2014, 85 S.
10.
Buggenthin, F. et al.: An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy. BMC Bioinformatics 14:297 (2013)
11.
Hilsenbeck, O.: Automated cell lineage construction from time-lapse microscopy data. München, Ludwig-Maximilians-Universität & Technische Universität, Bioinformatik, Bachelor-Thesis, 2011, 48 S.