Cytometry part A instructions to contributors.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 668, doi. 10.1002/cyto.a.23519
- Publication type:
- Article
Works matching IS 15524922 AND DT 2018 AND VI 93 AND IP 6
Results: 18
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ISAC member application.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 663, doi. 10.1002/cyto.a.23518
- Publication type:
- Article
3
Editorial Policy.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 662, doi. 10.1002/cyto.a.23517
- Publication type:
- Article
4
Issue Information – PubSchedule.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 586, doi. 10.1002/cyto.a.23516
- Publication type:
- Article
5
Journal roundup.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 584, doi. 10.1002/cyto.a.23515
- Publication type:
- Article
6
Volume 93A, Number 6, June 2018 Table of Contents.
- Published in:
- Cytometry. Part A, 2018, v. 93, n. 6, p. 580, doi. 10.1002/cyto.a.23514
- Publication type:
- Article
7
Issue Information – Editorial board.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 577, doi. 10.1002/cyto.a.23513
- Publication type:
- Article
8
Volume 93A, Number 6, June 2018 Cover Image.
- Published in:
- Cytometry. Part A, 2018, v. 93, n. 6, p. 1, doi. 10.1002/cyto.a.23512
- Publication type:
- Article
9
New editor on the block.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 587, doi. 10.1002/cyto.a.23508
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10
Immense random colocalization, revealed by automated high content image cytometry, seriously questions FISH as gold standard for detecting EML4‐ALK fusion.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 653, doi. 10.1002/cyto.a.23489
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- Publication type:
- Article
11
Cell dynamic morphology classification using deep convolutional neural networks.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 628, doi. 10.1002/cyto.a.23490
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- Article
12
OMIP‐047: High‐Dimensional phenotypic characterization of B cells.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 592, doi. 10.1002/cyto.a.23488
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- Article
13
Microfluidic FACS becoming real.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 589, doi. 10.1002/cyto.a.23376
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- Article
14
Semantic segmentation of mFISH images using convolutional networks.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 620, doi. 10.1002/cyto.a.23375
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- Publication type:
- Article
15
DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 597, doi. 10.1002/cyto.a.23371
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- Article
16
FAST: Rapid determinations of antibiotic susceptibility phenotypes using label‐free cytometry.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 639, doi. 10.1002/cyto.a.23370
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- Article
17
Universal cell type identifier based on number theory.
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 649, doi. 10.1002/cyto.a.23346
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- Publication type:
- Article
18
Modeling of cytometry data in logarithmic space: When is a bimodal distribution not bimodal?
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- Cytometry. Part A, 2018, v. 93, n. 6, p. 611, doi. 10.1002/cyto.a.23333
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- Article