Melissa Y. Yan
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View article: Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events
Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events Open
Annotations enrich text corpora and provide necessary labels for natural language processing studies. To reason and infer underlying implicit knowledge captured by labels, an ontology is needed to provide a semantically annotated corpus wi…
View article: Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text Open
Annotated clinical text corpora are essential for machine learning studies that model and predict care processes and disease progression. However, few studies describe the necessary experimental design of the annotation guideline and annot…
View article: Molecular contribution to embryonic aneuploidy and karyotypic complexity in initial cleavage divisions of mammalian development
Molecular contribution to embryonic aneuploidy and karyotypic complexity in initial cleavage divisions of mammalian development Open
Embryonic aneuploidy is highly complex, often leading to developmental arrest, implantation failure or spontaneous miscarriage in both natural and assisted reproduction. Despite our knowledge of mitotic mis-segregation in somatic cells, th…
View article: Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review Open
Objective To determine the effects of using unstructured clinical text in machine learning (ML) for prediction, early detection, and identification of sepsis. Materials and methods PubMed, Scopus, ACM DL, dblp, and IEEE Xplore databases we…
View article: Molecular Contribution to Embryonic Aneuploidy and Genotypic Complexity During Initial Cleavage Divisions of Mammalian Development
Molecular Contribution to Embryonic Aneuploidy and Genotypic Complexity During Initial Cleavage Divisions of Mammalian Development Open
Embryonic aneuploidy is highly complex, often leading to developmental arrest, implantation failure, or spontaneous miscarriage in both natural and assisted reproduction. Despite our knowledge of mitotic mis-segregation in somatic cells, t…
View article: VariantQC: a visual quality control report for variant evaluation
VariantQC: a visual quality control report for variant evaluation Open
Summary Large scale genomic studies produce millions of sequence variants, generating datasets far too massive for manual inspection. To ensure variant and genotype data are consistent and accurate, it is necessary to evaluate variants pri…
View article: mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease
mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease Open
View article: Single-cell sequencing of primate preimplantation embryos reveals chromosome elimination via cellular fragmentation and blastomere exclusion
Single-cell sequencing of primate preimplantation embryos reveals chromosome elimination via cellular fragmentation and blastomere exclusion Open
Aneuploidy that arises during meiosis and/or mitosis is a major contributor to early embryo loss. We previously showed that human preimplantation embryos encapsulate missegregated chromosomes into micronuclei while undergoing cellular frag…
View article: Additional file 1: of mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease
Additional file 1: of mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease Open
Table S1. Summary table of per-sample sequence data. (XLSX 27 kb)