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Global gene expression profile in myelodysplastic syndromes using SAGE
(FUNPEC-EDITORA, 2008)
The molecular pathogenesis of myelodysplastic syndromes (MDS) is poorly understood. In order to expand our knowledge of genetic defects in MDS, we determined the overall profile of genes expressed in bone marrow from ...
Global gene expression profile in myelodysplastic syndromes using SAGE
(2008-12-01)
The molecular pathogenesis of myelodysplastic syndromes (MDS) is poorly understood. In order to expand our knowledge of genetic defects in MDS, we determined the overall profile of genes expressed in bone marrow from ...
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series
(IEEE Computer Society, 2015-11)
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. ...
Gene Expression Profiles Stratified according to Type 1 Diabetes Mellitus Susceptibility Regions
(Blackwell Publishing, 2008-01-01)
The MHC region (6p21) aggregates the major genes that contribute to susceptibility to type 1 diabetes (T1D). Three additional relevant susceptibility regions mapped on chromosomes 1p13 (PTPN22), 2q33 (CTLA-4), and 11p15 ...
Gene Expression Profiles Stratified according to Type 1 Diabetes Mellitus Susceptibility Regions
(Blackwell Publishing, 2008-01-01)
The MHC region (6p21) aggregates the major genes that contribute to susceptibility to type 1 diabetes (T1D). Three additional relevant susceptibility regions mapped on chromosomes 1p13 (PTPN22), 2q33 (CTLA-4), and 11p15 ...
Automatic assignment of prokaryotic genes to functional categories using literature profiling.
(Public Library of Science, 2014)
Natural variation of the cardiac transcriptome in humans
(Taylor & Francis, 2021)
Analysis of gene expression profiles under water stress in tolerant and sensitive sugarcane plants
(Elsevier B.V., 2009-02-01)
Water stress decreases plant productivity. To detect genes expressed under drought conditions, we performed a gene expression study using drought tolerant (SP83-5073) and sensitive (SP90-1638) sugarcane plants. Gene ...