Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types.
about
Exome-capture RNA sequencing of decade-old breast cancers and matched decalcified bone metastasesAutomated deconvolution of structured mixtures from heterogeneous tumor genomic data.Statistical and integrative system-level analysis of DNA methylation data.Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation.Cancer epigenetics: Moving forward.Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity
P2860
Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types.
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
@wuu
2016年学术文章
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2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
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2016年學術文章
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name
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@en
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@nl
type
label
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@en
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@nl
prefLabel
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@en
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@nl
P2093
P2860
P1433
P1476
Epigenomic Deconvolution of Br ...... etween Constituent Cell Types.
@en
P2093
Adrian V Lee
Aleksandar Milosavljevic
David N Boone
Matt E Roth
Michael L Samuels
Ronak Y Patel
Ryan J Hartmaier
Steffi Oesterreich
Vesna D Garovic
Vitor Onuchic
P2860
P304
P356
10.1016/J.CELREP.2016.10.057
P577
2016-11-01T00:00:00Z