Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering.
about
On the selection of appropriate distances for gene expression data clusteringCardiovascular genomics: a biomarker identification pipelineA novel approach identifies the first transcriptome networks in bats: a new genetic model for vocal communication.Neuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology.Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.Classification of microarrays; synergistic effects between normalization, gene selection and machine learning.Normalization of high dimensional genomics data where the distribution of the altered variables is skewed.Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis.Elucidating the identity of resistance mechanisms to prednisolone exposure in acute lymphoblastic leukemia cells through transcriptomic analysis: A computational approach.Limited but durable changes to cellular gene expression in a model of latent adenovirus infection are reflected in childhood leukemic cell lines.A preliminary study of differentially expressed genes in expanded skin and normal skin: implications for adult skin regeneration.Fishing for contaminants: identification of three mechanism specific transcriptome signatures using Danio rerio embryos.Robust meta-analysis shows that glioma transcriptional subtyping complements traditional approaches.Unsupervised analyses reveal molecular subtypes associated to prognosis and response to therapy in colorectal cancer
P2860
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P2860
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Challenges in microarray class ...... gene selection and clustering.
@ast
Challenges in microarray class ...... gene selection and clustering.
@en
type
label
Challenges in microarray class ...... gene selection and clustering.
@ast
Challenges in microarray class ...... gene selection and clustering.
@en
prefLabel
Challenges in microarray class ...... gene selection and clustering.
@ast
Challenges in microarray class ...... gene selection and clustering.
@en
P2093
P2860
P356
P1433
P1476
Challenges in microarray class ...... gene selection and clustering.
@en
P2093
Eva Freyhult
Jenny Önskog
Mattias Landfors
Patrik Rydén
P2860
P2888
P356
10.1186/1471-2105-11-503
P577
2010-10-11T00:00:00Z
P5875
P6179
1033277022