BayesFlow: latent modeling of flow cytometry cell populations

P921

BayesFlow: latent modeling of flow cytometry cell populations

Item

http://www.wikidata.org/entity/Q35891316

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

BayesFlow: latent modeling of flow cytometry cell populations

@ast

BayesFlow: latent modeling of flow cytometry cell populations

@en

type

Item

label

BayesFlow: latent modeling of flow cytometry cell populations

@ast

BayesFlow: latent modeling of flow cytometry cell populations

@en

prefLabel

BayesFlow: latent modeling of flow cytometry cell populations

@ast

BayesFlow: latent modeling of flow cytometry cell populations

@en

P1433

Q35891316-2CD14502-D902-4169-9774-079715687307

P1476

Q35891316-02A4C629-757D-45CD-A724-7EB3D07F7AC7

P2093

Q35891316-283E015F-045F-43CA-868D-3618875F8C45

Q35891316-BB26A9F1-02F4-468F-9A94-8B3124B20CD7

Q35891316-F628865D-F520-4F2D-8CD3-BE78B218B94D

P2507

Q35891316-4E47593D-C255-4A04-B148-6A476590D9CF

P2860

Q35891316-00002189-EEAD-446B-AB5F-C27BAF78F736

Q35891316-006781ED-1C50-4011-858D-EFC460889803

Q35891316-03B1E167-999C-4549-A339-2587FE1BE2A4

Q35891316-22705FFD-1A2E-4AE4-BB1D-919DE6F25CD7

Q35891316-2D4F4EDB-2CD1-4CFC-BC32-D25C50D01ABB

Q35891316-315C638C-3A09-4AF9-A3A5-D97B3BB59842

Q35891316-3B5AD60D-B91C-4EEB-818D-6C8B2EA90CD8

Q35891316-53432C1F-F64B-45C0-B407-1BE74F5E3112

Q35891316-5E9170A7-7941-4DB0-B59D-4A9B1DCCCDEF

Q35891316-65DB80C7-F3DA-4B5F-914C-3490A66AF898

P2888

Q35891316-C830332E-BBFD-48C5-88E4-E120720EC6A4

P304

Q35891316-388EA17B-BCF1-43D4-AC81-DD3DA2EFA103

P31

Q35891316-CA47FFB6-13BE-4328-92AA-1A3FE13F4000

P356

Q35891316-FE5CD9D3-0D75-4D6C-BDF5-3EAB6C58C8EC

P478

Q35891316-BE49E882-4959-4203-8452-F9CA6F4B4C73

P50

Q35891316-86EBB087-6BD3-441F-871F-ACC7A1B2EAB3

P577

Q35891316-0743AC2B-F4CE-4C55-9191-74201440A70C

P6179

Q35891316-399E7D3B-8219-4FA4-B414-B5EDBDA4427C

P698

Q35891316-870C468E-AC15-4C16-9DCB-FA47297C869F

P932

Q35891316-1C798B6F-3643-487B-B971-EF22195D87AC

P356

S12859-015-0862-Z

P1433

BMC Bioinformatics

P1476

BayesFlow: latent modeling of flow cytometry cell populations

@en

P2093

Jonas Wallin

http://www.w3.org/2001/XMLSchema#string

Kerstin Johnsson

http://www.w3.org/2001/XMLSchema#string

Magnus Fontes

http://www.w3.org/2001/XMLSchema#string

P2507

Erratum to: BayesFlow: latent modeling of flow cytometry cell populations.

P2860

Flow cytometry bioinformatics

Data reduction for spectral clustering to analyze high throughput flow cytometry data

Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data

Critical assessment of automated flow cytometry data analysis techniques.

Application of user-guided automated cytometric data analysis to large-scale immunoprofiling of invariant natural killer T cells

Automated gating of flow cytometry data via robust model-based clustering.

Mixture modeling approach to flow cytometry data.

Automated high-dimensional flow cytometric data analysis.

Per-channel basis normalization methods for flow cytometry data.

Merging mixture components for cell population identification in flow cytometry

P2888

s12859-015-0862-z

P304

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/S12859-015-0862-Z

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Magnus Fontes

P577

2016-01-12T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1000743423

http://www.w3.org/2001/XMLSchema#string

P698

26755197

http://www.w3.org/2001/XMLSchema#string

P932

4709953

http://www.w3.org/2001/XMLSchema#string