An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.
about
Gene expression profiling identifies a subset of adult T-cell acute lymphoblastic leukemia with myeloid-like gene features and over-expression of miR-223A framework for regularized non-negative matrix factorization, with application to the analysis of gene expression dataCRNDE: A Long Non-Coding RNA Involved in CanceR, Neurobiology, and DEvelopmentNew methods for separating causes from effects in genomics data.Optimising parallel R correlation matrix calculations on gene expression data using MapReduce.Molecular signatures in acute myeloid leukemia.The European LeukemiaNet: achievements and perspectives.A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemiaCDKN1B, encoding the cyclin-dependent kinase inhibitor 1B (p27), is located in the minimally deleted region of 12p abnormalities in myeloid malignancies and its low expression is a favorable prognostic marker in acute myeloid leukemia.Sparse expression bases in cancer reveal tumor drivers.The DEK oncoprotein binds to highly and ubiquitously expressed genes with a dual role in their transcriptional regulation.Self-Contained Statistical Analysis of Gene SetsSubnetwork-based analysis of chronic lymphocytic leukemia identifies pathways that associate with disease progressionComprehensive Analysis of MILE Gene Expression Data Set Advances Discovery of Leukaemia Type and Subtype Biomarkers.Leukemic survival factor SALL4 contributes to defective DNA damage repair.High-level ROR1 associates with accelerated disease progression in chronic lymphocytic leukemia.Lymphoid enhancer binding factor-1 (LEF1) expression as a prognostic factor in adult acute promyelocytic leukemia.An integrated genomic approach to the assessment and treatment of acute myeloid leukemia.Gene expression profiling in MDS and AML: potential and future avenues.Application of metabolomics approaches to the study of respiratory diseases.Re-overcoming barriers in translating biomarkers to clinical practice.[Leukemia research in Germany: the Competence Network Acute and Chronic Leukemias].Global transcription network incorporating distal regulator binding reveals selective cooperation of cancer drivers and risk genesHigh-Dimensional Profiling for Computational Diagnosis.Meta-analytic framework for sparse K-means to identify disease subtypes in multiple transcriptomic studiesIdentification and validation of the dopamine agonist bromocriptine as a novel therapy for high-risk myelodysplastic syndromes and secondary acute myeloid leukemia.SLAMF7 is critical for phagocytosis of haematopoietic tumour cells via Mac-1 integrin.BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis.Mtss1 is a critical epigenetically regulated tumor suppressor in CML.The role of the CCN family of proteins in blood cancers.Clinical utility of microarray-based gene expression profiling in the diagnosis and subclassification of leukemia: report from the International Microarray Innovations in Leukemia Study Group.Decitabine-Vorinostat combination treatment in acute myeloid leukemia activates pathways with potential for novel triple therapy.Integrative Sparse K-Means With Overlapping Group Lasso in Genomic Applications for Disease Subtype Discovery.Identification of interconnected markers for T-cell acute lymphoblastic leukemiaHemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis.The effect of tert-butyl hydroperoxide on hepatic transcriptome expression patterns in the striped sea bream (Lithognathus mormyrus; Teleostei).A general method to derive robust organ-specific gene expression-based differentiation indices: application to thyroid cancer diagnostic.Maintenance of elderly AML patients with androgens.Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure.Gene expression profiling in AML with normal karyotype can predict mutations for molecular markers and allows novel insights into perturbed biological pathways.
P2860
Q24624017-0FA30BDE-4B84-4FE0-A303-644CD1EC380CQ28278807-4C73049E-DBD0-4C35-A46E-014844176379Q28391523-8E61632A-BD57-46FF-B77B-E62525125969Q30531261-1E2A772F-3234-4813-9292-B56E61A194DDQ30867604-2793C430-3623-44EF-BF42-B9A3623083B0Q34403639-7F73A425-145C-4DDC-9302-8F17BE7FA1A5Q34451619-4AAC5A71-FC9B-41D5-8417-4FACB7FC0F58Q34477517-A8B0A068-A752-4BB6-BF67-EBF1D62BA9B8Q35018518-0223770C-915D-40CE-A9FD-F984A6279FF3Q35088941-368FD28B-5D61-4F40-AFC1-03E84BA628B8Q35250786-17D3D836-EBF5-4434-B513-1638342C5CB1Q36155399-A468F8BB-FB82-44E5-8A0C-197FB6EAC237Q36286867-9545AD50-0972-43C9-9AF6-7CD418DD69FAQ36311655-CB34303E-78E9-4627-BD00-12CAD186FCD9Q37389409-6A6B2182-A41B-45A0-B6A2-EC7BD61F7C42Q37528063-245CC989-9780-4E82-AC6F-B735E0312C7EQ37718455-5E6D8DDC-5F0C-4FFF-99BD-C706821A013CQ37855227-27008640-8249-47A9-869A-7343D41585FFQ37858877-F3B8DF33-3157-47EC-8DED-DFB9FE5F54F8Q38050515-F70B9A78-6F84-44BF-BA72-E67BB64D63D7Q38088713-C559136C-42A2-4C09-A1A5-FE04015E50F3Q38382105-AB5FC606-9086-47FE-98C0-3F0E95CA8481Q38871843-534FC9A8-7F7C-4E18-865E-802DF41572A3Q39023264-65615482-9FF1-4BFC-9BF0-0F48EE299121Q39665271-4B5E8DEF-30B8-4938-89C0-0F230B3F340FQ40140077-2066FF03-0603-4916-AC36-1C4F1603C365Q40244852-90ED2DD0-F2B1-42E3-8FAB-BB8C2C9A9398Q40386032-567A52CD-57EE-4B3B-90FF-A2A5676AA884Q41085680-48FAC8A5-6174-4B10-A462-579A96837034Q41371363-A0B26FE2-1EC9-47F7-A947-1CAC9A981B21Q41508288-E0A68507-973E-4EE5-A80C-51666A692D97Q41612823-83402667-4809-450C-8D38-FABC976E02CEQ41687889-191A2CDA-54F6-4F18-9410-F062494FD4F0Q41969078-C08DC920-72A2-48DA-865B-D1378AB3BD88Q42430189-1B338979-7F4C-431D-B6FD-4F6C7D2E53F9Q43018784-D47F4F56-C39F-4DF6-BF45-E287EC3B0AE0Q45960973-81B255CA-9846-43FC-A7BC-9CCB3F95E94FQ47256520-95B9B520-27F0-412A-AFD2-88299EC7BF3AQ52626049-8ABFF01C-BBB6-4B93-B0AC-B20A33FD2214Q54430470-4A086766-439D-4639-82DA-2557F556D392
P2860
An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on September 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
An international standardizati ...... ns in LEukemia study prephase.
@en
An international standardizati ...... ns in LEukemia study prephase.
@nl
type
label
An international standardizati ...... ns in LEukemia study prephase.
@en
An international standardizati ...... ns in LEukemia study prephase.
@nl
prefLabel
An international standardizati ...... ns in LEukemia study prephase.
@en
An international standardizati ...... ns in LEukemia study prephase.
@nl
P2093
P2860
P50
P1476
An international standardizati ...... ons in LEukemia study prephase
@en
P2093
Alexander Kohlmann
Allen E Yeoh
Amanda F Gilkes
Evelyn S Koay
James R Downing
Laura Z Rassenti
Lothar Wieczorek
Marta Campo Dell'orto
Paul M Williams
Peter R Papenhausen
P2860
P304
P356
10.1111/J.1365-2141.2008.07261.X
P407
P577
2008-09-01T00:00:00Z