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Statistical analysis of the quantal basis of secretory granule formation

  • Published:2013-11-01 Issue:1 Volume:77 Page:1-10
  • ISSN:1059-910X
  • Container-title:Microscopy Research and Technique
  • language:en
  • Short-container-title:Microsc. Res. Tech.

Author:

Křepelová-DROR Marika1,Hammel Ilan2,Meilijson Isaac3

Affiliation:

1. Department of Econometrics; Faculty of Informatics and Statistics, University of Economics; Nám. W. Churchilla 4, 13067 Praha 3 Czech Republic

2. Department of Pathology; Sackler Faculty of Medicine; Tel Aviv University. Tel Aviv 6997801; Israel

3. School of Mathematical Sciences, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University; Tel Aviv 6997801 Israel

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Reference19 articles.

1. A new look at the statistical model identification;Akaike;IEEE Trans Autom Cont,1974

2. Linear Programming and Extensions

3. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J R Stat Soc Ser B,1977

4. Quantitative analysis of the native presynaptic cytomatrix by cryoelectron tomography;Fernández-Busnadiego;J Cell Biol,2010

5. Imaging of zymogen granules in fully wet cells: Evidence for restricted mechanism of granule growth;Hammel;Micros Res Tech,2007

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