Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

about

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

Item

http://www.wikidata.org/entity/Q35764274

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@ast

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@en

type

Item

label

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@ast

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@en

prefLabel

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@ast

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@en

P1476

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

@en

P2093

Chiara Cantaloni

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

Mattia Barbareschi

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

P2860

Serum microRNAs are promising novel biomarkers

miRNAs in human cancer

pROC: an open-source package for R and S+ to analyze and compare ROC curves

MicroRNAs as lung cancer biomarkers

Evaluation of microRNA expression profiles that may predict recurrence of localized stage I non-small cell lung cancer after surgical resection.

Two microRNA panels to discriminate three subtypes of lung carcinoma in bronchial brushing specimens.

Diagnostic assay based on hsa-miR-205 expression distinguishes squamous from nonsquamous non-small-cell lung carcinoma.

MicroRNA expression differentiates histology and predicts survival of lung cancer.

MicroRNAs as potential biomarkers in human solid tumors.

Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues.

P2888

s12859-015-0715-9

P304

287

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

P31

scholarly article

P356

10.1186/S12859-015-0715-9

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

P478

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

P50

P577

2015-09-04T00:00:00Z

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

P5875

281541315

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

P6179

1047296296

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

P698

26338526

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

P932

4559882

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