Using decision forest to classify prostate cancer samples on the basis of SELDI-TOF MS data: assessing chance correlation and prediction confidence.
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A Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental ChemicalsMass spectrometry in diagnostic oncoproteomics.Serum biomarkers for detection of breast cancers: A prospective study.Surface enhanced laser desorption ionization spectrometry reveals biomarkers for drug treatment but not dose.Is bagging effective in the classification of small-sample genomic and proteomic data?Comparison of computational algorithms for the classification of liver cancer using SELDI mass spectrometry: a case study.Protein mass spectra data analysis for clinical biomarker discovery: a global review.The value of serum biomarkers (Bc1, Bc2, Bc3) in the diagnosis of early breast cancer.Consistency of predictive signature genes and classifiers generated using different microarray platforms.Mass spectrometry of peptides and proteins from human blood.Bioinformatics approaches in clinical proteomics.sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptidesGaining Confidence on Molecular Classification through Consensus Modeling and Validation.Proteomics in clinical prostate research.Toward predictive models for drug-induced liver injury in humans: are we there yet?QSAR Models at the US FDA/NCTR.Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.Development of estrogen receptor beta binding prediction model using large sets of chemicals.Small-Sample Error Estimation for Bagged Classification Rules
P2860
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P2860
Using decision forest to classify prostate cancer samples on the basis of SELDI-TOF MS data: assessing chance correlation and prediction confidence.
description
2004 nî lūn-bûn
@nan
2004 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Using decision forest to class ...... tion and prediction confidence
@nl
Using decision forest to class ...... ion and prediction confidence.
@ast
Using decision forest to class ...... ion and prediction confidence.
@en
type
label
Using decision forest to class ...... tion and prediction confidence
@nl
Using decision forest to class ...... ion and prediction confidence.
@ast
Using decision forest to class ...... ion and prediction confidence.
@en
prefLabel
Using decision forest to class ...... tion and prediction confidence
@nl
Using decision forest to class ...... ion and prediction confidence.
@ast
Using decision forest to class ...... ion and prediction confidence.
@en
P2093
P2860
P3181
P356
P1476
Using decision forest to class ...... ion and prediction confidence.
@en
P2093
Emanuel F Petricoin
Huixiao Hong
Leming Shi
Roger Perkins
P2860
P304
P3181
P356
10.1289/EHP.7109
P407
P50
P577
2004-11-01T00:00:00Z