Multi-study integration of brain cancer transcriptomes reveals organ-level molecular signatures
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Measuring the effect of inter-study variability on estimating prediction error.Transcriptome interrogation of human myometrium identifies differentially expressed sense-antisense pairs of protein-coding and long non-coding RNA genes in spontaneous labor at term.A Cell-Surface Membrane Protein Signature for Glioblastoma.Transcriptional analysis of aggressiveness and heterogeneity across grades of astrocytomas.An argument for mechanism-based statistical inference in cancer.Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer.
P2860
Multi-study integration of brain cancer transcriptomes reveals organ-level molecular signatures
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2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
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2013年論文
@zh-hant
2013年論文
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2013年論文
@zh-mo
2013年論文
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2013年论文
@wuu
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Multi-study integration of bra ...... gan-level molecular signatures
@ast
Multi-study integration of bra ...... gan-level molecular signatures
@en
Multi-study integration of bra ...... gan-level molecular signatures
@nl
type
label
Multi-study integration of bra ...... gan-level molecular signatures
@ast
Multi-study integration of bra ...... gan-level molecular signatures
@en
Multi-study integration of bra ...... gan-level molecular signatures
@nl
prefLabel
Multi-study integration of bra ...... gan-level molecular signatures
@ast
Multi-study integration of bra ...... gan-level molecular signatures
@en
Multi-study integration of bra ...... gan-level molecular signatures
@nl
P2093
P2860
P50
P1476
Multi-study integration of bra ...... gan-level molecular signatures
@en
P2093
Cory C Funk
Donald Geman
Leroy Hood
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003148
P577
2013-07-25T00:00:00Z