An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors
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PatternLab for proteomics: a tool for differential shotgun proteomicsAn Omics Perspective on Candida Infections: Toward Next-Generation Diagnosis and TherapyIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialDissecting Candida albicans Infection from the Perspective of C. albicans Virulence and Omics Approaches on Host-Pathogen Interaction: A ReviewA Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataProfiling of the renal kinome: a novel tool to identify protein kinases involved in angiotensin II-dependent hypertensive renal damageToward a systems-level understanding of gene regulatory, protein interaction, and metabolic networks in cyanobacteriaImproving bioscience research reporting: the ARRIVE guidelines for reporting animal researchIncorporating inter-relationships between different levels of genomic data into cancer clinical outcome predictionKnowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.A comparative study of improvements Pre-filter methods bring on feature selection using microarray dataSurvey of the quality of experimental design, statistical analysis and reporting of research using animalsMinimum redundancy maximum relevance feature selection approach for temporal gene expression data.Key issues in conducting a meta-analysis of gene expression microarray datasets.A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.Pathway-BasedFeature Selection Algorithm for Cancer Microarray Data.Nonparametric methods for the analysis of single-color pathogen microarrays.Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray dataImmune response and mitochondrial metabolism are commonly deregulated in DMD and aging skeletal muscle.Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgeryMicroarray test results should not be compensated for multiplicity of gene contents.A between-class overlapping filter-based method for transcriptome data analysis.Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research.Varied pathways of stage IA lung adenocarcinomas discovered by integrated gene expression analysisGene expression profiles of HIV-1-infected glia and brain: toward better understanding of the role of astrocytes in HIV-1-associated neurocognitive disorders.Intra-relation reconstruction from inter-relation: miRNA to gene expressionA clustering-based approach for efficient identification of microRNA combinatorial biomarkersAltered global gene expression in first trimester placentas of women destined to develop preeclampsiaCancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector MachineA classification framework applied to cancer gene expression profiles.Challenges and standards in reporting diagnostic and prognostic biomarker studies.Discovering disease-specific biomarker genes for cancer diagnosis and prognosis.Enhancement of plant metabolite fingerprinting by machine learning.Feature Subset Selection for Cancer Classification Using Weight Local Modularity.Gene expression based leukemia sub-classification using committee neural networksAnalysis of variance components reveals the contribution of sample processing to transcript variation.Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research †.Application of Pearson correlation coefficient (PCC) and Kolmogorov-Smirnov distance (KSD) metrics to identify disease-specific biomarker genes.A fast approach to detect gene-gene synergy.A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)
P2860
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P2860
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
An assessment of recently publ ...... design and statistical factors
@ast
An assessment of recently publ ...... design and statistical factors
@en
type
label
An assessment of recently publ ...... design and statistical factors
@ast
An assessment of recently publ ...... design and statistical factors
@en
prefLabel
An assessment of recently publ ...... design and statistical factors
@ast
An assessment of recently publ ...... design and statistical factors
@en
P2860
P921
P356
P1476
An assessment of recently publ ...... design and statistical factors
@en
P2093
Francisco Azuaje
P2860
P2888
P356
10.1186/1472-6947-6-27
P577
2006-06-21T00:00:00Z
P5875
P6179
1013383409