Adrianne L. Stefanski
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View article: An open source knowledge graph ecosystem for the life sciences
An open source knowledge graph ecosystem for the life sciences Open
View article: An Open-Source Knowledge Graph Ecosystem for the Life Sciences
An Open-Source Knowledge Graph Ecosystem for the Life Sciences Open
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challen…
View article: Ontologizing health systems data at scale: making translational discovery a reality
Ontologizing health systems data at scale: making translational discovery a reality Open
View article: Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality Open
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping. Open Biological and Biomedi…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptional profi…
View article: Siglec-6 Signaling Uses Src Kinase Tyrosine Phosphorylation and SHP-2 Recruitment
Siglec-6 Signaling Uses Src Kinase Tyrosine Phosphorylation and SHP-2 Recruitment Open
Preeclampsia is a pregnancy-specific disorder involving placental abnormalities. Elevated placental Sialic acid immunoglobulin-like lectin (Siglec)-6 expression has been correlated with preeclampsia. Siglec-6 is a transmembrane receptor, e…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptional profi…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptional profi…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptional profi…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptional profi…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
<p>Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptio…
View article: Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality Open
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO…
View article: Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality Open
Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry ontolo…
View article: Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality Open
<p>Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Found…
View article: Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality Open
Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry ontolo…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease. Transcriptional profi…
View article: Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome Open
Preeclampsia is a leading cause of maternal and fetal morbidity and\nmortality. Currently, the only definitive treatment of preeclampsia is delivery\nof the placenta, which is central to the pathogenesis of the disease.\nTranscriptional pr…
View article: Role of the placenta in health and disease investigations into Siglec-6 and exosomes, The
Role of the placenta in health and disease investigations into Siglec-6 and exosomes, The Open
View article: Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery Open
View article: Murine trophoblast-derived and pregnancy-associated exosome-enriched extracellular vesicle microRNAs: Implications for placenta driven effects on maternal physiology
Murine trophoblast-derived and pregnancy-associated exosome-enriched extracellular vesicle microRNAs: Implications for placenta driven effects on maternal physiology Open
The role of extracellular vesicles (EVs), specifically exosomes, in intercellular communication likely plays a key role in placental orchestration of pregnancy and maternal immune sensing of the fetus. While murine models are powerful tool…
View article: Exploring the utility of link prediction algorithms for drug repurposing
Exploring the utility of link prediction algorithms for drug repurposing Open
View article: Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery Open
Electronic Health Record (EHR) systems typically define laboratory test results using the Laboratory Observation Identifier Names and Codes (LOINC) and can transmit them using Fast Healthcare Interoperability Resource (FHIR) standards. LOI…
View article: OWL-NETS: abstracting OWL for network inference
OWL-NETS: abstracting OWL for network inference Open
View article: Identifying and annotating uncharacterized preeclampsia-associated genes
Identifying and annotating uncharacterized preeclampsia-associated genes Open
View article: Identifying and annotating uninvestigated preeclampsia-related genes using linked open biomedical data
Identifying and annotating uninvestigated preeclampsia-related genes using linked open biomedical data Open
View article: Role of mucins in lung homeostasis: regulated expression and biosynthesis in health and disease
Role of mucins in lung homeostasis: regulated expression and biosynthesis in health and disease Open
In humans and mice, the first line of innate defense against inhaled pathogens and particles in the respiratory tract is airway mucus. The primary solid components of the mucus layer are the mucins MUC5AC and MUC5B, polymeric glycoproteins…
View article: Maternal obesity during lactation may protect offspring from high fat diet-induced metabolic dysfunction
Maternal obesity during lactation may protect offspring from high fat diet-induced metabolic dysfunction Open
View article: The relationship between complement C3 expression and the MUC5B genotype in pulmonary fibrosis
The relationship between complement C3 expression and the MUC5B genotype in pulmonary fibrosis Open
The common gain-of-function MUC5B promoter variant ( rs35705950 ) is the strongest risk factor for the development of idiopathic pulmonary fibrosis (IPF). While the role of complement in IPF is controversial, both MUC5B and the complement …
View article: Modulation of Lung Epithelial Cell Function Using Conditional and Inducible Transgenic Approaches
Modulation of Lung Epithelial Cell Function Using Conditional and Inducible Transgenic Approaches Open
View article: OWL-NETS: Transforming OWL Representations for Improved Network Inference
OWL-NETS: Transforming OWL Representations for Improved Network Inference Open
Our knowledge of the biological mechanisms underlying complex human disease is largely incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL), provide powerful techniques for representing existing knowledge, w…