相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples
Niya Wang et al.
BIOINFORMATICS (2015)
An assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samples
Vinod Kumar Yadav et al.
BRIEFINGS IN BIOINFORMATICS (2015)
Predictive Performance of Microarray Gene Signatures: Impact of Tumor Heterogeneity and Multiple Mechanisms of Drug Resistance
Charlotte K. Y. Ng et al.
CANCER RESEARCH (2014)
Global optimization of somatic variant identification in cancer genomes with a global community challenge
Paul C. Boutros et al.
NATURE GENETICS (2014)
DeMix: deconvolution for mixed cancer transcriptomes using raw measured data
Jaeil Ahn et al.
BIOINFORMATICS (2013)
CellMix: a comprehensive toolbox for gene expression deconvolution
Renaud Gaujoux et al.
BIOINFORMATICS (2013)
DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data
Ting Gong et al.
BIOINFORMATICS (2013)
Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding
Zhenhua Li et al.
BMC BIOINFORMATICS (2013)
Digital sorting of complex tissues for cell type-specific gene expression profiles
Yi Zhong et al.
BMC BIOINFORMATICS (2013)
Cancer heterogeneity: implications for targeted therapeutics
R. Fisher et al.
BRITISH JOURNAL OF CANCER (2013)
Computational deconvolution: extracting cell type-specific information from heterogeneous samples
Shai S. Shen-Orr et al.
CURRENT OPINION IN IMMUNOLOGY (2013)
Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package
Douglas Bates et al.
JOURNAL OF STATISTICAL SOFTWARE (2013)
Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction
Gerald Quon et al.
GENOME MEDICINE (2013)
THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data
Layla Oesper et al.
GENOME BIOLOGY (2013)
Semi-supervised Nonnegative Matrix Factorization for gene expression deconvolution: A case study
Renaud Gaujoux et al.
INFECTION GENETICS AND EVOLUTION (2012)
Absolute quantification of somatic DNA alterations in human cancer
Scott L. Carter et al.
NATURE BIOTECHNOLOGY (2012)
Gene expression deconvolution in linear space
Yi Zhong et al.
NATURE METHODS (2012)
PERT: A Method for Expression Deconvolution of Human Blood Samples from Varied Microenvironmental and Developmental Conditions
Wenlian Qiao et al.
PLOS COMPUTATIONAL BIOLOGY (2012)
Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain
Alexandre Kuhn et al.
NATURE METHODS (2011)
Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples
Ting Gong et al.
PLOS ONE (2011)
Robust unmixing of tumor states in array comparative genomic hybridization data
David Tolliver et al.
BIOINFORMATICS (2010)
Statistical expression deconvolution from mixed tissue samples
Jennifer Clarke et al.
BIOINFORMATICS (2010)
Probabilistic analysis of gene expression measurements from heterogeneous tissues
Timo Erkkila et al.
BIOINFORMATICS (2010)
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Dirk Repsilber et al.
BMC BIOINFORMATICS (2010)
In silico Estimates of Tissue Components in Surgical Samples Based on Expression Profiling Data
Yipeng Wang et al.
CANCER RESEARCH (2010)
Cell type-specific gene expression differences in complex tissues
Shai S. Shen-Orr et al.
NATURE METHODS (2010)
Allele-specific copy number analysis of tumors
Peter Van Loo et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)
ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing
Gerald Quon et al.
BIOINFORMATICS (2009)
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker et al.
JOURNAL OF CLINICAL ONCOLOGY (2009)
Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus
Alexander R. Abbas et al.
PLOS ONE (2009)
Tumor immunobiological differences in prostate cancer between African-American and European-American men
Tiffany A. Wallace et al.
CANCER RESEARCH (2008)
Genome-wide transcriptional analysis of the human cell cycle identifies genes differentially regulated in normal and cancer cells
Ziv Bar-Joseph et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)
Electronically subtracting expression patterns from a mixed cell population
Mark M. Gosink et al.
BIOINFORMATICS (2007)
A hidden-state Markov model for cell population deconvolution
Sushmita Roy et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2006)
Gene expression profiling in cervical cancer: An exploration of intratumor heterogeneity
Barbara Bachtiary et al.
CLINICAL CANCER RESEARCH (2006)
Computational expression deconvolution in a complex mammalian organ
Min Wang et al.
BMC BIOINFORMATICS (2006)
In silico microdissection of microarray data from heterogeneous cell populations -: art. no. 54
H Lähdesmäki et al.
BMC BIOINFORMATICS (2005)
Outcome signature genes in breast cancer: is there a unique set?
L Ein-Dor et al.
BIOINFORMATICS (2005)
In silico dissection of cell-type-associated patterns of gene expression in prostate cancer
RO Stuart et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)
Mixture models for assessing differential expression in complex tissues using microarray data
D Ghosh
BIOINFORMATICS (2004)
Expression deconvolution: A reinterpretation of DNA microarray data reveals dynamic changes in cell populations
P Lu et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2003)
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
A Bhattacharjee et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
AA Alizadeh et al.
NATURE (2000)