Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.
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CERAPP: Collaborative Estrogen Receptor Activity Prediction ProjectA Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental ChemicalsCombinations of Genetic Data Present in Bipolar Patients, but Absent in Control Persons.Combinations of genetic data in a study of oral cancer.Proceedings of the Third Annual Conference of the MidSouth Computational Biology and Bioinformatics Society. Introduction.Combinations of SNPs related to signal transduction in bipolar disorder.sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptidesGaining Confidence on Molecular Classification through Consensus Modeling and Validation.Challenges and standards in reporting diagnostic and prognostic biomarker studies.Functional polymorphisms in the matrix metalloproteinase genes and their association with bladder cancer risk and recurrence: a mini-review.Pattern recognition for predictive, preventive, and personalized medicine in cancer.QSAR Models at the US FDA/NCTR.Population Structure of UK Biobank and Ancient Eurasians Reveals Adaptation at Genes Influencing Blood Pressure.Development of estrogen receptor beta binding prediction model using large sets of chemicals.Decision tree classifier makes genotyping more intuitive and more efficient.Identification of a combination of SNPs associated with Graves' disease using swarm intelligence.Competitive docking model for prediction of the human nicotinic acetylcholine receptor α7 binding of tobacco constituents.Proceedings of the second annual conference of the MidSouth Computational Biology and Bioinformatics Society. 7-9 October 2004, Little Rock, Arkansas, USA
P2860
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P2860
Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@ast
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@en
type
label
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@ast
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@en
prefLabel
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@ast
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@en
P2093
P2860
P1433
P1476
Decision forest analysis of 61 ...... hageal cancer; a novel method.
@en
P2093
Huixiao Hong
Luke D Ratnasinghe
Philip R Taylor
Roger Perkins
Ze-Zhong Tang
P2860
P2888
P356
10.1186/1471-2105-6-S2-S4
P478
P50
P577
2005-07-15T00:00:00Z
P5875
P6179
1023046614