Cytometric fingerprinting: quantitative characterization of multivariate distributions. - Wikidata - wikimedia - TriplyDB

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

http://www.wikidata.org/entity/Q34766845

about

Flow cytometry bioinformatics Earth Mover's Distance (EMD): A True Metric for Comparing Biomarker Expression Levels in Cell Populations Immunologic consequences of chemotherapy for ovarian cancer: impaired responses to the influenza vaccine Advances in complex multiparameter flow cytometry technology: Applications in stem cell research.Stochastic sensitivity analysis and kernel inference via distributional data.Deep profiling of multitube flow cytometry data.FlowFP: A Bioconductor Package for Fingerprinting Flow Cytometric Data Optimizing transformations for automated, high throughput analysis of flow cytometry data.Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry data.Computational analysis of high-throughput flow cytometry data Analysis of B cell subsets following pancreatic islet cell transplantation in a patient with type 1 diabetes by cytometric fingerprinting Endothelial microparticles: sophisticated vesicles modulating vascular function.Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms.Personalized cytomic assessment of vascular health: Evaluation of the vascular health profile in diabetes mellitus.Biomarkers in T cell therapy clinical trials.Rapid phenotypic fingerprinting of cell products by robust measurement of ubiquitous surface markers.Flow Cytometry-Based Classification in Cancer Research: A View on Feature Selection.Bovine viral diarrhea virus structural protein E2 as a complement regulatory protein.Vascular Health Profile predicts cardiovascular outcomes in patients with diabetes.Probability state modeling theory.Flow Cytometric Methods for Circulating Tumor Cell Isolation and Molecular Analysis.Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes

P2860

Q21045422-9DE2A556-F3F4-4959-842E-6C843449C28D Q28550954-72C0A3D6-5988-491D-9D6C-F463CBB3A4A3 Q30353632-A45AA49C-8017-4A01-BFA1-7F4E5C5E02DD Q30479710-930B86F7-A43E-46CE-A540-EC2731DA12EF Q30847351-34D99B7D-2FBA-431B-969C-5C30536C2004 Q30885002-31308827-6467-4857-B776-12C6F2C0F448 Q33517104-77B29DC5-5832-4BB6-AC07-7CFD93A56220 Q33738291-F86677FF-150E-4725-B0F0-1AFAC71E2103 Q34046941-F2E3C9B6-4D03-4273-9515-3B218369F6B5 Q34307823-3DD43EAF-EF90-43DD-9DEF-ABA74DBD51B8 Q34440185-FA6C5FDA-52ED-4C50-B7EA-2F4C31738475 Q35624092-5717CB2C-16F9-40A5-948B-8106676E096E Q35670126-DE0CEA67-CDBD-471D-8611-256AA3C7A3ED Q37267758-3CF5B5B7-3BE8-44BF-AEDC-0A6015CDFCD6 Q37919589-423C92FC-A783-4A33-A2AD-7F1A3BCBF722 Q38864270-34389D15-9564-474F-BB8D-2337AA6E6CE4 Q39848976-09B069A3-D749-453D-A0E0-332ADDC18F43 Q39869411-32550303-0A50-4F3F-8599-878BF54C2326 Q40324178-1F86415E-467E-499D-8EDF-F24CA505456A Q40900332-FA0F7A24-A0A5-458D-B15D-27FCE3A38B32 Q52767819-A3BDA1D5-D5E3-4DDA-8EBC-C34012A79875 Q58748271-C4235C39-4D57-4EB7-A611-80B9AB0E369D

P2860

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

http://www.wikidata.org/entity/Q34766845

description

2008 nî lūn-bûn

@nan

2008 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

name

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@ast

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@en

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@nl

type

label

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@ast

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@en

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@nl

prefLabel

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@ast

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@en

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@nl

P1433

Q34766845-D5E1A9DD-2957-4151-8B25-67F536462883

P1476

Q34766845-0451CC1E-83CD-402C-8028-A900638EF93C

P2093

Q34766845-167CF4E9-5E21-4E11-A0F4-F71117101D6F

Q34766845-21BD1E8A-19C2-4D92-8C21-BD2B98C14946

Q34766845-834ED2F1-76C4-4B33-B28E-DD9B6C482396

Q34766845-C93DA480-A0BB-4FC7-8274-9A7729993CFC

Q34766845-CF6598F4-F7EF-4949-B532-6E02DCE61FF1

Q34766845-D11CDE9B-3235-495E-9809-1727BD65BFA1

Q34766845-FF8C62A0-4DA3-4918-8EC9-8EE3468EE816

P2860

Q34766845-0B9DBD4B-036F-4538-B171-63F97964978D

Q34766845-47242E19-BD4F-407B-AFA8-38CBF9B275A2

Q34766845-FD36D2C7-321D-4A90-A2B5-3AA0C4FD7A60

P304

Q34766845-048DE9E7-E6E2-4CAA-8A20-42090A7C1EDF

P31

Q34766845-6E5BBB33-A269-4855-BD6A-C8030E44B528

P356

Q34766845-2AB1F334-7EE7-4854-9F0C-4A1AB3A8F2B1

P433

Q34766845-3301345D-626E-4367-B195-98E91803647B

P478

Q34766845-DDC421E4-BFE9-44C5-A8C2-805296F62F87

P577

Q34766845-F68EB114-3515-455A-B712-607C308AC435

P5875

Q34766845-5CA0A7C4-3DF3-4505-8BBA-5DC26ABFC258

P698

Q34766845-BCE46336-A9BE-4588-BF8D-FB63BCEDED13

P356

P1433

Cytometry Part A

P1476

Cytometric fingerprinting: quantitative characterization of multivariate distributions.

@en

P2093

Allan R Moser

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

Andrew Bantly

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

Emile R Mohler

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

George Scangas

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

Herbert A Holyst

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

Jonni S Moore

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

Wade T Rogers

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

P2860

Functional T cell responses to tumor antigens in breast cancer patients have a distinct phenotype and cytokine signature.

LIII. On lines and planes of closest fit to systems of points in space

The Choice of a Class Interval

P304

430-441

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

P31

scholarly article

P356

10.1002/CYTO.A.20545

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

P433

5

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

P478

73

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

P577

2008-05-01T00:00:00Z

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

P5875

5470007

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

P698

18383310

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