Statistical methods for analyzing microarray feature data with replications.
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Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arraysGenome-wide gene expression profiling analysis of Leishmania major and Leishmania infantum developmental stages reveals substantial differences between the two speciesComputational analysis of gene-gene interactions using multifactor dimensionality reduction.Modulation of gene expression in drug resistant Leishmania is associated with gene amplification, gene deletion and chromosome aneuploidy.Construction of a microarray specific to the chicken immune system: profiling gene expression in B cells after lipopolysaccharide stimulationGene expression modulation and the molecular mechanisms involved in Nelfinavir resistance in Leishmania donovani axenic amastigotes.
P2860
Statistical methods for analyzing microarray feature data with replications.
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2003 nî lūn-bûn
@nan
2003 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Statistical methods for analyzing microarray feature data with replications.
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Statistical methods for analyzing microarray feature data with replications.
@en
type
label
Statistical methods for analyzing microarray feature data with replications.
@ast
Statistical methods for analyzing microarray feature data with replications.
@en
prefLabel
Statistical methods for analyzing microarray feature data with replications.
@ast
Statistical methods for analyzing microarray feature data with replications.
@en
P2093
P1476
Statistical methods for analyzing microarray feature data with replications.
@en
P2093
Clemens Broger
Joanne Edington
Josephine Hoh
Klaus Lindpaintner
Martin Neeb
Yaning Yang
P304
P356
10.1089/106652703321825946
P577
2003-01-01T00:00:00Z