A5100327645- Mental Health Research Topics
- Gene expression and cancer classification
- Forensic Anthropology and Bioarchaeology Studies
- Autism Spectrum Disorder Research
- Suicide and Self-Harm Studies
- Bioinformatics and Genomic Networks
- Forensic Entomology and Diptera Studies
- Sleep and related disorders
- Consumer Perception and Purchasing Behavior
- Immunotherapy and Immune Responses
- Gene Regulatory Network Analysis
- Japanese History and Culture
- Genetic Associations and Epidemiology
- Spondyloarthritis Studies and Treatments
- Alzheimer's disease research and treatments
- CRISPR and Genetic Engineering
- Osteomyelitis and Bone Disorders Research
- Genetics and Neurodevelopmental Disorders
- Paleopathology and ancient diseases
- vaccines and immunoinformatics approaches
- Sleep and Wakefulness Research
- Mental Health Treatment and Access
- Complex Network Analysis Techniques
- Categorization, perception, and language
- Opinion Dynamics and Social Influence
Korea Advanced Institute of Science and Technology
2025
University of North Carolina at Chapel Hill
2022
Korea Institute of Science & Technology Information
2019-2022
University of California, San Francisco
2019-2020
Ewha Womans University
2010-2011
Inje University
1995
Autism spectrum disorder (ASD) affects up to 1 in 59 children, and is one of the most common neurodevelopmental disorders. Recent genomic studies have highlighted role rare variants ASD. This study aimed identify genes affected by shared siblings with ASD validate function a candidate gene FRRS1L. By integrating whole genome sequencing data 866 multiplex families from Hartwell Foundation's Research Technology Initiative Speaks MSSNG project, we identified two or more Using (SRVs), selected...
Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative associated with complex genetic etiology. Besides the apolipoprotein E ε4 ( APOE ε4) allele, few dozen other loci AD have been identified through genome-wide association studies (GWAS) conducted mainly in individuals of European ancestry. Recently, several GWAS performed ethnic groups shown importance replicating that identify previously established risk and searching for novel loci. -stratified yielded might be masked by,...
Abstract Diffuse idiopathic skeletal hyperostosis (DISH) is a disorder showing of the spinal column and ossification extraspinal ligaments or tendons. The prevalence DISH has been found to be higher in historic peoples upper‐ ruling classes, fact was closely correlative with nutritional high‐caloric diets. also known function genetic factors; as such, there have very few cases among specimens Asian collections. In our osteoarchaeological study on Joseon Dynasty Human Sample Collection...
ABSTRACT Notwithstanding the relative abundance of bioarchaeological evidence pre‐20th century gunshot wounds discovered at European and American archaeological sites, similar findings in East Asian countries have been very rare. In this study, we report possible sustained by two individuals buried Joseon tombs Korea. The shapes trauma seemed to indicate low‐velocity projectiles, most likely musket balls. To our knowledge, is first specifically concerning gunshot‐wound skeletons recovered...
Background Suicide is one of the leading causes death among young and middle-aged people. However, little understood about behaviors up to actual suicide attempts whether these are specific nature attempts. Objective The goal this study was examine clusters antecedent determine if they could be used assess potential lethality attempt. To accomplish goal, we developed a deep learning model using relationships themselves. Methods This data from Korea National Survey. We identified 1112...
Precise prediction of the antigens that bind to major histocompatibility complex (MHC) molecules is one most important steps for many immune response-related studies including identification neoantigen capable recognizing cancer cells implementation personalized immunotherapy as well vaccine/therapeutic protein development. To overcome limitations limited performance existing models, we developed a new convolutional neural network (CNN)-based epitope model by incorporating features sequence...
Intensive Longitudinal Data (ILD) is increasingly available to social and behavioral scientists. With this increased availability come new opportunities for modeling predicting complex biological, behavioral, physiological phenomena. Despite these psychological researchers have not taken full advantage of promising inherent data, the potential forecast processes at individual level. To address gap in literature we present a novel framework that addresses number topical challenges open...
How best to model structurally heterogeneous processes is a foundational question in the social, health and behavioral sciences. Recently, Fisher et al., (2022) introduced multi-VAR approach for simultaneously estimating multiple-subject multivariate time series characterized by common individualizing features using penalized estimation. This differs from many popular modeling approaches that qualitative quantitative differences large number of individual dynamics are well-accommodated. The...
<sec> <title>BACKGROUND</title> Suicide is one of the leading causes death among young and middle-aged people. However, little understood about behaviors up to actual suicide attempts whether these are specific nature attempts. </sec> <title>OBJECTIVE</title> The goal this study was examine clusters antecedent determine if they could be used assess potential lethality attempt. To accomplish goal, we developed a deep learning model using relationships themselves. <title>METHODS</title> This...
Lucy M. Montgomery’s Anne of Green Gables (1908) has been continuously adapted to films and TV series, often with great success. The most recent example is the critically acclaimed CBC/Netflix’s an E (2017-19). show’s creator Moira Walley-Beckett, also famous for her writing “Ozymandias” episode AMC’s Breaking Bad (2008-13), made some major changes original book. In doing so, Walley-Beckett not only renewed quintessential Canadian icon twenty first century audience more attuned dark...
Biomarkers for early detection of cancers are important. However, there not many cancer biomarkers currently being used. This study, as an research marker development, made the technology to classify types by using mRNA microarray data from primary tissues. In previous work, multiple at one time has been difficult, but we here developed model 9 different (with same model) deep learning (convolutional neural networks). consists two convolutional layers and fully connected layers. The shows...
Inferring gene regulatory networks are important in investigating disease genes and to understand overall perspectives mechanisms for diseases, global needed. However, inferring require tremendous computations huge information content, the inference without these requirements results infeasible execution reasonable time inaccurate networks. To solve this problem, we had developed MONET technique, MOdularized NETwork learning, which computational burden can be overcome by divide-and-conquer...
개개인이 선호하는 패션 스타일이 다양해지며, 개인화된 패션추천 연구에 대한 수요가 증가하고 있다. 최근에는 딥러닝 기술의 발전으로 딥러닝을 활용하여 패션사진으로부터 특징을 추출하고 추천에 활용하는 연구가 많이 진행되고 본 연구에서는, 패션사진의 있어서 스타일 뿐 아니라, 소비자도 고려하기 위해 소셜 네트워크 데이터를 이용하고자 했다. 인스타그램과 같은 네트워크의 각 사용자는 자신이 스타일의 패션사진을 포스팅하고 “좋아요”로 태깅하는 경향이 있어, 데이터는 사용자와 패션사진 사이의 관계를 파악하는데 매우 중요하다. 연구팀은 패션사진으로 이루어진 데이터 구조로부터 벡터공간에 매핑하는 기법을 제안한다. 특히, 학습에 이용되지 않은 패션이미지도 추가학습 없이 매핑함으로써, 임의의 사용자가 선호할 만한 추천해주기 제안 방법을 이용할 수