Predictive models for breast cancer susceptibility from multiple single nucleotide polymorphisms.
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Computational identification of residues that modulate voltage sensitivity of voltage-gated potassium channels.Prospective health care: the second transformation of medicineAssessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors.An approach to predict the risk of glaucoma development by integrating different attribute data.Breast cancer prediction using genome wide single nucleotide polymorphism data.A prostate cancer model build by a novel SVM-ID3 hybrid feature selection method using both genotyping and phenotype data from dbGaP.A novel similarity-measure for the analysis of genetic data in complex phenotypes.Determining relative importance of variables in developing and validating predictive models.A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic dataA method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elementsIdentification of type 2 diabetes-associated combination of SNPs using support vector machineCytochrome P-450 1B1 Leu432Val Polymorphism Does Not Show Association With Breast Cancer in Northern Iranian Women With a History of Infertility.Association of CYP1B1 Polymorphisms with Breast Cancer: A Case-Control Study in the Han Population in Ningxia Hui Autonomous Region, P. R. ChinaConfirmation of linkage to and localization of familial colon cancer risk haplotype on chromosome 9q22.Mismatch repair polymorphisms and risk of colon cancer, tumour microsatellite instability and interactions with lifestyle factorsImproving the estimation of celiac disease sibling risk by non-HLA genes.Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome.Efficient techniques for genotype-phenotype correlational analysis.Support Vector Machine classifier for estrogen receptor positive and negative early-onset breast cancer.Using information interaction to discover epistatic effects in complex diseasesMachine learning applications in cancer prognosis and predictionMultivariate models from RNA-Seq SNVs yield candidate molecular targets for biomarker discovery: SNV-DAProstate cancer risk and aggressiveness associated with the CYP1B1 4326C/G (Leu432Val) polymorphism: a meta-analysis of 2788 cases and 2968 controlsCytochrome P450 1B1 Val432Leu polymorphism and breast cancer risk in Nigerian women: a case control study.Applications of machine learning in cancer prediction and prognosisMLH1 Ile219Val Polymorphism in Argentinean Families with Suspected Lynch Syndrome.Gene polymorphisms and periodontitis.Association between the CYP1B1 polymorphisms and risk of cancer: a meta-analysis.The effect of multiple single nucleotide polymorphisms in the folic acid pathway genes on homocysteine metabolism.Modeling susceptibility to periodontitis.A support vector machine approach to assess drug efficacy of interferon-alpha and ribavirin combination therapy.Catechol-O-methyltransferase Val 108/158 Met polymorphism and breast cancer risk: a case control study in Syria.SVM-based generalized multifactor dimensionality reduction approaches for detecting gene-gene interactions in family studies.Prognosis and Early Diagnosis of Ductal and Lobular Type in Breast Cancer Patient.A distance-based cluster algorithm for genomic analysis in genetic disease.Pooling-analysis on hMLH1 polymorphisms and cancer risk: evidence based on 31,484 cancer cases and 45,494 cancer-free controls.Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer.Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.Mutation probability of cytochrome P450 based on a genetic algorithm and support vector machine.MLH1 -93G>A promoter polymorphism and the risk of microsatellite-unstable colorectal cancer.
P2860
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P2860
Predictive models for breast cancer susceptibility from multiple single nucleotide polymorphisms.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh
2004年學術文章
@zh-hant
name
Predictive models for breast c ...... ngle nucleotide polymorphisms.
@en
Predictive models for breast c ...... ngle nucleotide polymorphisms.
@nl
type
label
Predictive models for breast c ...... ngle nucleotide polymorphisms.
@en
Predictive models for breast c ...... ngle nucleotide polymorphisms.
@nl
prefLabel
Predictive models for breast c ...... ngle nucleotide polymorphisms.
@en
Predictive models for breast c ...... ngle nucleotide polymorphisms.
@nl
P2093
P1476
Predictive models for breast c ...... ingle nucleotide polymorphisms
@en
P2093
Adrian Driga
Brent Zanke
Brett Poulin
Jennifer Dufour
Jennifer Listgarten
Lillian Cook
Russ Greiner
Sambasivarao Damaraju
P304
P356
10.1158/1078-0432.CCR-1115-03
P407
P577
2004-04-01T00:00:00Z