ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing.
about
Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samplesDeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data.THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing dataAn assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samplesMedoidshift clustering applied to genomic bulk tumor data.Topic model-based mass spectrometric data analysis in cancer biomarker discovery studiesComplex Sources of Variation in Tissue Expression Data: Analysis of the GTEx Lung TranscriptomeStatistical Analyses of Next Generation Sequence Data: A Partial Overview.Probabilistic analysis of gene expression measurements from heterogeneous tissues.PERT: a method for expression deconvolution of human blood samples from varied microenvironmental and developmental conditions.RNA-Seq accurately identifies cancer biomarker signatures to distinguish tissue of origin.Digital sorting of complex tissues for cell type-specific gene expression profiles.Deconvolution of gene expression from cell populations across the C. elegans lineage.ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles.Using mixtures of biological samples as process controls for RNA-sequencing experiments.Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis.TrAp: a tree approach for fingerprinting subclonal tumor composition.The next generation: using new sequencing technologies to analyse gene regulation.PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS THERAPY.Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction.Automated deconvolution of structured mixtures from heterogeneous tumor genomic data.Diagnostic work-up of carcinoma of unknown primary: from immunohistochemistry to molecular profiling.
P2860
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P2860
ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@en
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@nl
type
label
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@en
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@nl
prefLabel
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@en
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@nl
P2860
P356
P1433
P1476
ISOLATE: a computational strat ...... ng high-throughput sequencing.
@en
P2093
Gerald Quon
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP378
P407
P577
2009-06-19T00:00:00Z