Statistical evaluation of SAGE libraries: consequences for experimental design

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Statistical evaluation of SAGE libraries: consequences for experimental design is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

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P356DOI10.1152/PHYSIOLGENOMICS.00042.2002
P698PubMed publication ID12407185
P5875ResearchGate publication ID11057596

P50authorFrank BaasQ30111686
Jan M RuijterQ87679179
P2093author name stringAntoine H C Van Kampen
P2860cites workSerial analysis of gene expressionQ27860777
The significance of digital gene expression profilesQ29614357
Gene expression profiles in normal and cancer cellsQ29619943
eSAGE: managing and analysing data generated with serial analysis of gene expression (SAGE).Q30617560
USAGE: a web-based approach towards the analysis of SAGE data. Serial Analysis of Gene ExpressionQ30620938
SAGEmap: a public gene expression resourceQ30651577
Dynamics of gene expression revealed by comparison of serial analysis of gene expression transcript profiles from yeast grown on two different carbon sourcesQ30708837
Computational aspects of expression dataQ31916628
Computational methods for the identification of differential and coordinated gene expression.Q33724059
Characterization of gene expression in resting and activated mast cellsQ36401747
A quantitative evaluation of SAGE.Q39545244
SAGE transcript profiles for p53-dependent growth regulationQ41092725
POWER_SAGE: comparing statistical tests for SAGE experiments.Q52068990
Genes differentially expressed in medulloblastoma and fetal brain.Q52164813
A Survey of Exact Inference for Contingency TablesQ56432188
P433issue2
P921main subjectstatisticsQ12483
P304page(s)37-44
P577publication date2002-10-29
P1433published inPhysiological GenomicsQ2506446
P1476titleStatistical evaluation of SAGE libraries: consequences for experimental design
P478volume11

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cites work (P2860)
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