about
GeneMANIA: a real-time multiple association network integration algorithm for predicting gene functionA critical assessment of Mus musculus gene function prediction using integrated genomic evidence.The genetic landscape of a cellCharacterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individualsGenetic variants in Alzheimer disease - molecular and brain network approachesSharing and Specificity of Co-expression Networks across 35 Human TissuesNormalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.Predictive modeling of therapy response in multiple sclerosis using gene expression data.Transcriptome analysis reveals differential splicing events in IPF lung tissueFast integration of heterogeneous data sources for predicting gene function with limited annotationVariation and genetic control of gene expression in primary immunocytes across inbred mouse strains.Labeling nodes using three degrees of propagationContributions of steroidogenic factor 1 to the transcription landscape of Y1 mouse adrenocortical tumor cells.EIF3G is associated with narcolepsy across ethnicities.Genetic studies of major depressive disorder: why are there no genome-wide association study findings and what can we do about it?Parsing the Interferon Transcriptional Network and Its Disease AssociationsImpact of the X Chromosome and sex on regulatory variation.Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes.Network pharmacology of JAK inhibitorsCombining many interaction networks to predict gene function and analyze gene lists.Allele-specific expression reveals interactions between genetic variation and environment.Multiplexed droplet single-cell RNA-sequencing using natural genetic variation.Increased transcriptional activity of milk-related genes following the active phase of experimental autoimmune encephalomyelitis and multiple sclerosis.CD56bright natural killer regulatory cells in filgrastim primed donor blood or marrow products regulate chronic graft-versus-host disease: the Canadian Blood and Marrow Transplant Group randomized 0601 study results.Unsupervised detection of genes of influence in lung cancer using biological networks.Inhalation of diesel exhaust and allergen alters human bronchial epithelium DNA methylation.Predicting node characteristics from molecular networks.Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.Transcriptome analysis reveals differential splicing events in IPF lung tissue.Integration of genomics and metabolomics for prioritization of rare disease variants: a 2018 literature review.Association of Whole-Genome and NETRIN1 Signaling Pathway–Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK BiobankThe Molecular and Neuropathological Consequences of Genetic Risk for Alzheimer's DementiaTargeted brain proteomics uncover multiple pathways to Alzheimer's dementiaMulti-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive DeclineDifferences in DNA methylation of white blood cell types at birth and in adulthood reflect postnatal immune maturation and influence accuracy of cell type predictionAllele-specific expression reveals interactions between genetic variation and environmentSharing and specificity of co-expression networks across 35 human tissues
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description
onderzoeker
@nl
researcher, ORCID id # 0000-0003-4698-1177
@en
name
Sara Mostafavi
@ast
Sara Mostafavi
@en
Sara Mostafavi
@es
Sara Mostafavi
@nl
type
label
Sara Mostafavi
@ast
Sara Mostafavi
@en
Sara Mostafavi
@es
Sara Mostafavi
@nl
prefLabel
Sara Mostafavi
@ast
Sara Mostafavi
@en
Sara Mostafavi
@es
Sara Mostafavi
@nl
P106
P21
P31
P496
0000-0003-4698-1177