Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories.
about
MicroRNA-driven developmental remodeling in the brain distinguishes humans from other primatesSources of variance in baseline gene expression in the rodent livermRNA levels in control rat liver display strain-specific, hereditary, and AHR-dependent componentsCoordinated changes in xenobiotic metabolizing enzyme gene expression in aging male rats.ADHD diagnosis from multiple data sources with batch effects.Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data.RNA-seq mixology: designing realistic control experiments to compare protocols and analysis methodsValidation and characterization of DNA microarray gene expression data distribution and associated moments.Age and sex dependent changes in liver gene expression during the life cycle of the rat.Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods.Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patientsConsistent Differential Expression Pattern (CDEP) on microarray to identify genes related to metastatic behavior.Coevolutionary genetic variation in the legume-rhizobium transcriptome.Batch effect removal methods for microarray gene expression data integration: a survey.Comparative transcriptomics and metabolomics in a rhesus macaque drug administration study.Bridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic viewHeritability and inter-population differences in lipid profiles of Drosophila melanogasterMetabolite and transcriptome analysis during fasting suggest a role for the p53-Ddit4 axis in major metabolic tissuesEvaluating intra- and inter-individual variation in the human placental transcriptomeIdentification of novel immune and barrier genes in atopic dermatitis by means of laser capture microdissection.Toxicogenomic biomarkers for liver toxicityGenetic and nongenetic variation revealed for the principal components of human gene expressionExtraction and analysis of signatures from the Gene Expression Omnibus by the crowd.Sources of high variance between probe signals in Affymetrix short oligonucleotide microarrays.Removing batch effects from histopathological images for enhanced cancer diagnosis.ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions.An integrated quantification method to increase the precision, robustness, and resolution of protein measurement in human plasma samples.The chromatin accessibility signature of human immune aging stems from CD8+ T cells.Bowel Location Rather Than Disease Subtype Dominates Transcriptomic Heterogeneity in Pediatric IBD
P2860
Q21145751-0CA24FF1-3431-4858-BBAC-AB567427CEDFQ27024366-66F02F54-4024-4E5E-9F30-1CED732A9E94Q28478950-F0F5F750-5EA4-4A9F-BEA3-88E4E48A9356Q29347030-FA4D1AF8-3134-415E-A760-6DFFD8280AB8Q30573134-A6D3FE8A-1003-4D7B-8475-7D99B3238DA8Q31106182-F85EF803-F3D0-4C73-B9E7-478804913175Q33558353-99A3F0FD-287D-4B10-8D2E-F97640BD4CBDQ33752284-D25FCA5E-B3DB-4225-B3A0-F9055ED02DACQ33758968-98842397-4E1A-4192-9DBC-B71F8C653259Q33840779-810AA43F-5127-4835-867D-F8BDC79AF5FAQ33891903-E427F7AD-75EE-4AA2-978B-7906394F91C2Q34073110-DCA97DEB-2B2D-4B71-9874-4C6BDE3CC547Q34294105-2F788353-38BE-4990-9897-2B3BE46801C8Q34360830-B9AC2343-BB54-4F5A-9EBD-FB8CE761965AQ34521873-1B8AE710-4B25-4D60-9EB3-D9787928FA6FQ34602260-E3D82BA8-3532-4FB9-89A8-0A76599877CAQ34980847-50D9F0BD-6A62-4A60-A76F-49FB812D6503Q35031827-F8E3CB7F-89A4-46D3-A0CB-1216526A4549Q35503617-54C65B43-4262-4BC5-A902-77AD0D0F1B3FQ35539472-D477E155-95DE-4DAB-BDE1-CB8A0B894540Q35633882-F5E0CB5A-525D-420B-8F83-FDE85788CDCCQ37269722-93350FC0-23F0-4AC5-BA67-683C398D797AQ37315128-075C7F24-0BCF-49A2-9F1C-B6731D55363DQ37588638-9FDC1886-BD86-4810-9965-181DC64391A4Q40965502-9E875E00-1889-43FC-84DD-1C4B602E5C18Q42021672-6E116014-6DEA-4BBE-AE0B-B95DE2EE6E62Q43190825-0D721917-D542-49CE-A829-813E8E4FF1BBQ47806831-4CD21C0A-C224-4B8A-A796-CADCBD19739BQ58566858-86485600-1EBD-4709-BE81-BD7083DA8F25
P2860
Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Sources of variation in baseli ...... across multiple laboratories.
@ast
Sources of variation in baseli ...... across multiple laboratories.
@en
type
label
Sources of variation in baseli ...... across multiple laboratories.
@ast
Sources of variation in baseli ...... across multiple laboratories.
@en
prefLabel
Sources of variation in baseli ...... across multiple laboratories.
@ast
Sources of variation in baseli ...... across multiple laboratories.
@en
P2093
P2860
P356
P1433
P1476
Sources of variation in baseli ...... across multiple laboratories.
@en
P2093
Fenglong Liu
Hui-Rong Qian
J Christopher Corton
Janice S Lee
Jeff W Chou
Jennifer Fostel
Karol L Thompson
Matthew Cooper
Michael B Bass
P2860
P2888
P356
10.1186/1471-2164-9-285
P407
P577
2008-06-12T00:00:00Z
P5875
P6179
1024046480