about
Synthetic lethal analysis of Caenorhabditis elegans posterior embryonic patterning genes identifies conserved genetic interactionsFunctional genomic analysis of amniotic fluid cell-free mRNA suggests that oxidative stress is significant in Down syndrome fetusesA YAC-based physical map of the mouse genome.From patterns to pathways: gene expression data analysis comes of age.Using Next-Generation Sequencing to Explore Genetics and Race in the High School Classroom.CSAX: Characterizing Systematic Anomalies in eXpression Data.The pathway not taken: understanding 'omics data in the perinatal context.High throughput interaction data reveals degree conservation of hub proteins.Getting started in gene expression microarray analysis.Evaluating between-pathway models with expression dataToward the dynamic interactome: it's about time.Finding novel molecular connections between developmental processes and disease.Transcriptional profiling in cancer: the path to clinical pharmacogenomics.Connectedness of PPI network neighborhoods identifies regulatory hub proteins.DFLAT: functional annotation for human development.Amniotic fluid RNA gene expression profiling provides insights into the phenotype of Turner syndrome.The amniotic fluid transcriptome: a source of novel information about human fetal developmentFRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detectionGene expression analysis in pregnant women and their infants identifies unique fetal biomarkers that circulate in maternal blood.Novel neurodevelopmental information revealed in amniotic fluid supernatant transcripts from fetuses with trisomies 18 and 21.Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression.Amniotic fluid transcriptomics reflects novel disease mechanisms in fetuses with myelomeningocele.Towards a more molecular taxonomy of disease.Disease-associated expression profiles in peripheral blood mononuclear cells from patients with advanced renal cell carcinoma.Personal microbiomes and next-generation sequencing for laboratory-based education.Time is Money: Designing Cost-Effective Time Series Experiments.Risk factors associated with beta-amyloid(1-42) immunotherapy in preimmunization gene expression patterns of blood cells.The fetal brain transcriptome and neonatal behavioral phenotype in the Ts1Cje mouse model of Down syndrome.Putting benchmarks in their rightful place: The heart of computational biologyRadiation hybrid map of the mouse genomeGuest Editors’ Introduction: Selected Papers from ACM-BCB 2013Assessment of network module identification across complex diseases
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description
researcher ORCID ID = 0000-0003-3357-437X
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wetenschapper
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name
Donna K Slonim
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Donna K Slonim
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Donna K Slonim
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Donna K Slonim
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Donna K Slonim
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Donna K Slonim
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Donna Slonim
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Donna K Slonim
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Donna K Slonim
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Donna K Slonim
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P106
P31
P496
0000-0003-3357-437X