FTIR spectroscopy of biofluids revisited: an automated approach to spectral biomarker identification. - Wikidata - awgldk - TriplyDB

FTIR spectroscopy of biofluids revisited: an automated approach to spectral biomarker identification.

FTIR spectroscopy of biofluids revisited: an automated approach to spectral biomarker identification.

http://www.wikidata.org/entity/Q50956611

about

Perfluoroalkylated Substance Effects in Xenopus laevis A6 Kidney Epithelial Cells Determined by ATR-FTIR Spectroscopy and Chemometric Analysis Characterization of biofluids prepared by sessile drop formation Using Fourier transform IR spectroscopy to analyze biological materials Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE).Transmission versus transflection mode in FTIR analysis of blood plasma: is the electric field standing wave effect the only reason for observed spectral distortions?Introducing Discrete Frequency Infrared Technology for High-Throughput Biofluid Screening.Brain tumour differentiation: rapid stratified serum diagnostics via attenuated total reflection Fourier-transform infrared spectroscopy Assessing the challenges of Fourier transform infrared spectroscopic analysis of blood serum.Vibrational spectroscopy of biofluids for disease screening or diagnosis: translation from the laboratory to a clinical setting.Can mid-infrared biomedical spectroscopy of cells, fluids and tissue aid improvements in cancer survival? A patient paradigm.Developing and understanding biofluid vibrational spectroscopy: a critical review.MIR-biospectroscopy coupled with chemometrics in cancer studies.Ultra-filtration of human serum for improved quantitative analysis of low molecular weight biomarkers using ATR-IR spectroscopy.Classification and prediction of HCC tissues by Raman imaging with identification of fatty acids as potential lipid biomarkers.It's in your blood: spectral biomarker candidates for urinary bladder cancer from automated FTIR spectroscopy.Biofluid infrared spectro-diagnostics: pre-analytical considerations for clinical applications.Identification of spectral biomarkers for type 1 diabetes mellitus using the combination of chiroptical and vibrational spectroscopy.Bile analysis using high-throughput FTIR spectroscopy for the diagnosis of malignant biliary strictures: a pilot study in 57 patients.Applications of mid-infrared spectroscopy in the clinical laboratory setting.Characterization of human breast cancer tissues by infrared imaging.Droplet evaporation on heated hydrophobic and superhydrophobic surfaces.Plasma biomarkers of pulmonary hypertension identified by Fourier transform infrared spectroscopy and principal component analysis.Monitoring of plant-environment interactions by high-throughput FTIR spectroscopy of pollen

P2860

Q30386889-66E5B578-5FCB-4C8D-A7AD-BF471EDBCE38 Q30409796-1A496404-7F3D-4707-B941-54FCEABD6876 Q30655657-65FCF969-2DDD-4A4B-998F-47500AFACB46 Q30954181-FBE83AC1-A177-45F4-A863-54F7E641A12C Q35538705-84F9E998-84FE-44C2-BA63-CE0367785A52 Q35913787-ACF81794-D386-456E-9D7A-B501A8C1C008 Q36809344-C600E27C-8C4F-49DD-A689-53994BADA7DD Q38184462-F22C293E-3FFB-43A7-AC69-50C984E3293A Q38197570-695945BB-5787-42CB-875A-DD3B2D82C0CD Q38616332-32198428-1FB8-4C98-8EF1-AC27F0E11669 Q38650032-59173F55-FBE3-4914-837C-6D11EE565D73 Q38902048-DEB818C9-7B41-4CAE-BC85-9785067DD62C Q39032283-F705268E-C9B6-4CB7-ACD4-028F5ADB6093 Q39126282-64D67DE0-62FE-4E1E-A11A-2C71BBF8BF1A Q39278631-13E33EE9-4DBF-4DED-9B78-B36029223EFC Q39860343-AA9378E5-3D96-4B4A-BA22-322A3FB9033D Q41564786-A1305610-4734-4A66-8B89-BB8CB4F112AB Q43588273-40924D4C-0AB7-4E27-978C-AAA0BE438F31 Q47312535-CCC69463-E122-4250-8039-160F5DF09D6D Q50551197-62FF9EA4-5F80-4B4F-90FD-195C32496575 Q53551884-AD05CC0E-5368-4F02-887D-195EA754BF68 Q53634827-2D5A0402-6CBB-4FD4-AC72-63A13EECDE42 Q57552498-2DF49B55-409A-490E-95A2-30BA7CEEA862

P2860

FTIR spectroscopy of biofluids revisited: an automated approach to spectral biomarker identification.

http://www.wikidata.org/entity/Q50956611

description

2013 nî lūn-bûn

@nan

2013年の論文

@ja

2013年学术文章

@wuu

2013年学术文章

@zh

2013年学术文章

@zh-cn

2013年学术文章

@zh-hans

2013年学术文章

@zh-my

2013年学术文章

@zh-sg

2013年學術文章

@yue

2013年學術文章

@zh-hant

name

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@en

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@nl

type

label

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@en

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@nl

prefLabel

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@en

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@nl

P1433

Q50956611-974A99BF-C03E-45CC-AE23-E99FD6DA72FE

P1476

Q50956611-F635C1DA-353C-4A24-B414-D4AF03FD64D6

P2093

Q50956611-8DE483EE-49F8-4E7E-96B3-366AB460B2F9

Q50956611-97FB763D-B6C6-4858-A021-793F8884419A

Q50956611-AAE16C09-F4E9-4EB9-BFBB-A76D7F4A1288

Q50956611-DB86B6F9-2CA2-41F5-A1E2-829554E91A62

Q50956611-F0962E0D-AC1F-45B3-AEB2-305C02396471

P2860

Q50956611-0717BD9E-53C4-49AC-A076-651FC270FB13

Q50956611-15AB1BD5-FAD5-4342-AAA2-4E96CC1D48E3

Q50956611-279CDEE3-EF89-4367-9866-491A37070361

Q50956611-2ABD1CF3-0952-48C9-99BA-F34958780DD0

Q50956611-2B05EF38-B9DC-4636-8105-F729EC593EDD

Q50956611-33E96EA1-4D69-4186-ABB0-C0C91D694EFF

Q50956611-34371A51-08F3-460E-87ED-F44E58939016

Q50956611-4C9B3858-1975-4212-8D6A-CD06C0B1B57B

Q50956611-522F64D6-70EE-4E9F-983B-D6E595C372A0

Q50956611-587EEAEF-070F-4BE4-BA4D-BEBFFADFC8EB

P304

Q50956611-E2E6CE7C-A274-48EA-81EC-ECA7934F2CA8

P31

Q50956611-99E85BC8-BCDF-4B2B-894B-D57577BF15D4

P356

Q50956611-99C9ACE2-C67D-4254-B3CE-C498327C5FE0

P433

Q50956611-F58C4CF8-9700-45D6-A36F-7879925BC344

P478

Q50956611-E512EA2D-87C7-43E9-B52E-359C3EFFA568

P50

Q50956611-3988D5B5-A9C2-4BB2-89A5-81D420805ED2

P577

Q50956611-D26B54C5-5AE5-4D17-BF4B-C8B1357E1DE8

P5875

Q50956611-B8809994-B9AD-4207-9FDE-CA9329DB1446

P698

Q50956611-DC202CE0-ADAF-48DE-B53E-619231538100

P921

Q50956611-AFAE24EC-F581-4B11-9C0C-74E2A3C126EE

Q50956611-E37B78B5-92F6-40AD-BA19-293E20D15A29

P356

P1433

P1476

FTIR spectroscopy of biofluids ...... tral biomarker identification.

@en

P2093

H Michael Heise

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

Julian Ollesch

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

Steffen L Drees

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

Thomas Behrens

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

Thomas Brüning

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

P2860

'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns

Gene selection and classification of microarray data using random forest.

Tobacco smoking and risk of bladder cancer

Differential exoprotease activities confer tumor-specific serum peptidome patterns

Development of biomarker classifiers from high-dimensional data.

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.

Sensitivity and specificity of commonly available bladder tumor markers versus cytology: results of a comprehensive literature review and meta-analyses.

Selection of microsatellite markers for bladder cancer diagnosis without the need for corresponding blood.

Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.

P304

4092-4102

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

P31

scholarly article

P356

10.1039/C3AN00337J

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

P433

14

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

P478

138

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

P50

P577

2013-05-28T00:00:00Z

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

P5875

236948735

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

P698

23712384

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

P921