about
Factors affecting the accuracy of a class prediction model in gene expression data.Selecting a classification function for class prediction with gene expression data.Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification.Class probability estimation for medical studies.Assessing rejection-related disease in kidney transplant biopsies based on archetypal analysis of molecular phenotypesTranscriptome assists prognosis of disease severity in respiratory syncytial virus infected infants.A gene signature that distinguishes conventional and leukemic nonnodal mantle cell lymphoma helps predict outcome
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Probabilistic classifiers with high-dimensional data.
@ast
Probabilistic classifiers with high-dimensional data.
@en
type
label
Probabilistic classifiers with high-dimensional data.
@ast
Probabilistic classifiers with high-dimensional data.
@en
prefLabel
Probabilistic classifiers with high-dimensional data.
@ast
Probabilistic classifiers with high-dimensional data.
@en
P2860
P356
P1433
P1476
Probabilistic classifiers with high-dimensional data.
@en
P2093
Kyung In Kim
Richard Simon
P2860
P304
P356
10.1093/BIOSTATISTICS/KXQ069
P577
2010-11-17T00:00:00Z