19 | 차재현 | Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference | ![]() |
J.Club |
25 | 부은경 | Genetic mapping across autoimmune diseases reveals shared associations and mechanisms | ![]() |
J.Club |
18 | 임성수 | Mapping the landscape of synthetic lethal interactions in liver cancer | ![]() |
J.Club |
08 | 유준기 | Prioritizing autoimmunity risk variants for functional analyses by fine-mapping mutations under natural selection | ![]() |
J.Club |
04 | 김나영 | Mapping the Korean National Health Checkup Questionnaire to Standard Terminologies | ![]() |
J.Club |
04 | 이시은 | Deep-learning-based automated terminology mapping in OMOP-CDM | ![]() |
J.Club |
28 | 부은경 | Whole-exome imputation within UK Biobank powers rare coding variant association and fine-mapping analyses | ![]() |
J.Club |
24 | 조민아 | Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits | ![]() |
J.Club |
22 | 안세환 | Improving cell-specific drug connectivity mapping with collaborative filtering | ![]() |
J.Club |
06 | 유승원 | Mapping biological process relationships and disease | ![]() |
J.Club |
13 | Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping | ![]() |
J.Club |
01 | ̼ | RS-ADRs laboratory test mapping strategyand RS-ADRs version2 plan | TopicSem |
26 | Statistic result of CMO mapping to SNUH clinical document | TopicSem |
15 | Mapping result of CDO classes with UMLS | TopicSem |
18 | μ | Validation Progress of RxNorm Mapping Algorithm | TopicSem |
16 | μ | Development of Web Application for Mapping Drugs in Prescription with RxNorm | TopicSem | |
30 | μ | Discussion about validation of RxNorm mapping algorithm | BioEMR |
18 | μ | Development Plan of Web Application for Mapping Drugs in Prescription with RxNorm | TopicSem |
07 | μ | Drug mapping with UMLS(RxNorm) using KPIS in prescription (only single ingredient drugs) | BioEMR | |
19 | μ | Mapping results of single ingredient drugs(100 sample) with UMLS(RxNorm) | TopicSem |
02 | Comparison lifelong term mapping rate in SNOMED-CT and MELLO | TopicSem | ||
16 | μ | ڵ ý manual mapping in CCR and KPIS ER schema | BioEMR |
19 | μ | Ingredient mapping with RxNorm | TopicSem |
25 | A Structure-Based Approach for Mapping Adverse Drug Reactions to the Perturbation of Underlying Biological Pathways | ![]() |
J.Club |
24 | Mapping rules for converting CCR to CCD | BioEMR |
20 | μ | Mapping Partners Master Drug Dictionary to RxNorm using an NLP-based approach | J.Club |
15 | A corpus-based approach for automated LOINC mapping | J.Club |
21 | From Variant to Human Phenotype Term Mapping Result with OMIM & HPO. | TopicSem |
17 | Rocky | Classification of renal cell carcinoma subtypes based on gene expression data and mapping genomic variation to NGS data | MAInfo |
13 | Rocky | Mapping of genomic variation in miRNA and its binding sites using whole genome sequencing data | MAInfo |
21 | 뷡 | Mapping rsID, genotype for each disease | SysBiol |
13 | Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience | ![]() |
J.Club |
08 | ̼ | standardized nursing record mapping with WHO-ART for ADR detection | TopicSem | |
21 | LASTZ introduction, PharmGKB mapping strategy. | SysBiol |
09 | ̼S | GEO value mapping using MESH and eVOC | TopicSem |
21 | CDISC SDTM Variable mapping rule | BioEMR |
16 | ̼ | Mapping and quantifying mammalian transcriptomes | MAInfo |
04 | mapping GEO data with eVOC_terms | Seminar |
01 | CDISC Transformer- Mapping rule | ![]() |
TopicSem | |
09 | CCRPlus UI and Excel file Mapping | BioEMR | ||
16 | CCRPlus UI and Excel file Mapping | BioEMR | ||
17 | Rocky | eVOC mapping idea | ![]() |
xMutant |
16 | ̼ | Mapping rate between GEO Importer Rule and Our Rule | Seminar |
05 | Mapping GEO values on eVOC words | Seminar |
23 | Web_GIS_in_practice_VIII_HTML5_and_the_canvas_element_for_interactive_online_mapping | BioEMR | ||
26 | ̼ | MGED Attribute and GPL,GSM,GDS Attribute mapping | Seminar |
08 | ̼S | HOW TO WELL MAPPING THE GEO DATA | Seminar |
23 | Automated Database Mediation Using Ontological metadata mappings | ![]() |
J.Club |
09 | ۿ | Mapping of Xperanto and Xperanto-TMA into RDF | Seminar | |
27 | ۿ | Mapping of Xperanto and Xperanto-TMA into RDF using D2RQ API | Seminar |
22 | ۿ | Mapping of Xperanto-TMA into RDF | Seminar |
28 | Metadata mapping and reuse in caBIG | ![]() |
J.Club |
20 | Mapping the local data to the UMLS | Seminar |
18 | Progress of Gene mapping | Seminar |
13 | Gene mapping progress in GPL | Seminar | ||
29 | Gene mapping in GPL porgresws | Seminar |
11 | Gene mapping | Seminar |
22 | GEO Final or Not? [GEO, Integration, Microarray repository, Arrayport, Mapping, Platform, Series, Sample] | Seminar |
08 | A Systems Approach to Mapping DNA Damage Response Pathways [DNA damage response pathway] | ![]() ![]() |
J.Club | |
12 | Primary schema & Extended schemata status [Platform, GEO feature, mapping] | xMutant |
06 | Pathway mapping | SysBiol | ||
15 | Genome-wide association study in esophageal cancer using GeneChip mapping 10k array | ![]() |
J.Club |
16 | GRIP Pathway Mapping | SysBiol |
28 | 輼 | Comprehensive Solution to the XMLtoRelational Mapping Problem | BioEMR |
15 | Gene Ontology Multidimensional Scaling Mapping [SysBiol] | Seminar |
26 | ü genotype data human whole genome mapping display ϱ | xMutant |
03 | Methods for automated concept mapping between medical databases | ![]() ![]() |
J.Club | |
06 | Mapping between the Disease Names of OMIM and MeSH [ClinInfo] | Seminar |
14 | A Mapping Schema and Interface for XML Stores | ![]() ![]() |
J.Club |
13 | Mapping free text into UMLS concepts - Progress | BioEMR |
01 | Mapping free text into UMLS concepts | BioEMR | ||
22 | Mapping free text into UMLS concepts 2 | BioEMR |
03 | An approach to object-relational mapping in bioscience domains | ![]() ![]() |
J.Club |