Semi-supervised methods to predict patient survival from gene expression data
about
Heterogeneous Effects of Direct Hypoxia Pathway Activation in Kidney CancerDifferential oestrogen receptor binding is associated with clinical outcome in breast cancerEpigenetics as a mechanism driving polygenic clinical drug resistanceGene expression profiling predicts survival in conventional renal cell carcinoma.Computational Models for Transplant Biomarker DiscoveryPattern recognition in bioinformaticsThe promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disordersReview of processing and analysis methods for DNA methylation array dataA Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataPeripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: an epigenome-wide association studyAn eight-miRNA signature as a potential biomarker for predicting survival in lung adenocarcinomaGene expression-based classification of non-small cell lung carcinomas and survival predictionA gene expression signature of acquired chemoresistance to cisplatin and fluorouracil combination chemotherapy in gastric cancer patientsDysregulation of IFN system can lead to poor response to pegylated interferon and ribavirin therapy in chronic hepatitis CIntegrated analysis of gene expression profiles associated with response of platinum/paclitaxel-based treatment in epithelial ovarian cancerIdentifying prognostic features by bottom-up approach and correlating to drug repositioningJoint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancerIdentification of a seven-miRNA signature as prognostic biomarker for lung squamous cell carcinomaComprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.Reducing confounding and suppression effects in TCGA data: an integrated analysis of chemotherapy response in ovarian cancer.Predicting the survival time for diffuse large B-cell lymphoma using microarray data.GSVA: gene set variation analysis for microarray and RNA-seq data.Prediction of a time-to-event trait using genome wide SNP dataBreast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient dataIdentification of significant features in DNA microarray data.Semi-supervised discovery of differential genes.Phenotype prediction based on genome-wide DNA methylation data.Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.Integrative clustering methods for high-dimensional molecular data.Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature.Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsamplingPrincipal bicorrelation analysis: Unraveling associations between three data sources.A gene-expression signature to predict survival in breast cancer across independent data sets.High-dimensional genomic data bias correction and data integration using MANCIEIdentifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning.Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSO.SignS: a parallelized, open-source, freely available, web-based tool for gene selection and molecular signatures for survival and censored data.Indirect genomic effects on survival from gene expression dataMistakes in validating the accuracy of a prediction classifier in high-dimensional but small-sample microarray data.Interpretation of genomic data: questions and answers.
P2860
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P2860
Semi-supervised methods to predict patient survival from gene expression data
description
2004 nî lūn-bûn
@nan
2004 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի ապրիլին 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
Semi-supervised methods to predict patient survival from gene expression data
@ast
Semi-supervised methods to predict patient survival from gene expression data
@en
Semi-supervised methods to predict patient survival from gene expression data
@nl
type
label
Semi-supervised methods to predict patient survival from gene expression data
@ast
Semi-supervised methods to predict patient survival from gene expression data
@en
Semi-supervised methods to predict patient survival from gene expression data
@nl
prefLabel
Semi-supervised methods to predict patient survival from gene expression data
@ast
Semi-supervised methods to predict patient survival from gene expression data
@en
Semi-supervised methods to predict patient survival from gene expression data
@nl
P2860
P3181
P1433
P1476
Semi-supervised methods to predict patient survival from gene expression data
@en
P2860
P3181
P356
10.1371/JOURNAL.PBIO.0020108
P407
P577
2004-04-01T00:00:00Z