A5009861775- Gene expression and cancer classification
- Hydrology and Watershed Management Studies
- Bioinformatics and Genomic Networks
- Water Systems and Optimization
- Hydraulic flow and structures
- Flood Risk Assessment and Management
- Water resources management and optimization
- Ovarian cancer diagnosis and treatment
- Algorithms and Data Compression
- Cancer-related molecular mechanisms research
- Urban Stormwater Management Solutions
- Network Security and Intrusion Detection
- Molecular Biology Techniques and Applications
- AI in cancer detection
- MicroRNA in disease regulation
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Computational Drug Discovery Methods
- Cancer Genomics and Diagnostics
- DNA and Biological Computing
- Hydrological Forecasting Using AI
- Hydrology and Sediment Transport Processes
- Regional Development and Environment
- HER2/EGFR in Cancer Research
- Glycosylation and Glycoproteins Research
Handong Global University
2018-2025
Pohang TechnoPark (South Korea)
2024
CHA Bundang Medical Center
2024
Samsung (South Korea)
2006-2017
Samsung Medical Center
2014-2016
Korea Telecom (South Korea)
2016
Sungkyunkwan University
2015
Seoul National University
2013-2014
Samsung (India)
2010
Hankyong National University
2008
Senescence is a sequence of biochemical and physiological events that constitute the final stage development. The identification genes alter senescence has practical value helpful in revealing pathways influence senescence. However, genetic mechanisms are largely unknown. leaf oresara9 (ore9) mutant Arabidopsis exhibits increased longevity during age-dependent natural by delaying onset various symptoms. It also displays delayed symptoms hormone-modulated Map-based cloning ORE9 identified...
Ovarian cancer is mostly diagnosed at advantaged stages due to the lack of early diagnostic biomarkers. The common metastasis pattern characterized by peritoneal dissemination with a formation malignant ascites. Extracellular vesicles (EVs) are emerging as promising clinical biomarkers in liquid biopsy. Here, we aimed investigate robust biopsy-based EV miRNA for ovarian diagnosis and regulation. EVs were isolated from ascites plasma patients well benign control counterparts gynecologic...
Pancreatic ductal adenocarcinoma (PDAC) exhibits severe hypoxia, which is associated with chemoresistance and worse patient outcome. It has been reported that hypoxia induces metabolic reprogramming in cancer cells. However, it not well known whether contributes to hypoxia. Here, we established increased glutamine catabolism a fundamental mechanism inducing thus chemoresistance, PDAC An extracellular matrix component-based vitro three-dimensional cell printing model patient-derived cells...
Two standard test problems that are nonconvex with multiple local minima considered. An outer flow search–inner optimization procedure is proposed for choosing better minima. Each pipe network judiciously subjected to the outer-search scheme chooses alternative configurations find an optimal division among pipes. inner linear program used design of least-cost diameters. The algorithm can also be parallel expansion existing networks. Because problem nonconvex, two global-search schemes,...
Abstract Motivation: Identifying altered pathways in an individual is important for understanding disease mechanisms and the future application of custom therapeutic decisions. Existing pathway analysis techniques are mainly focused on discovering between normal cancer groups not suitable identifying aberrance that may occur sample. A simple way to identify individual’s compare tumor data from same individual. However, matched often unavailable clinical situation. Therefore, we suggest a new...
Heterogeneity in intratumoral cancers leads to discrepancies drug responsiveness, due diverse genomics profiles. Thus, prediction of responsiveness is critical precision medicine. So far, prediction, drugs' molecular "fingerprints", along with mutation statuses, have not been considered. Here, we constructed a 1-dimensional convolution neural network model, DeepIC50, predict three classes, based on 27,756 features including statuses and various fingerprints. As result, DeepIC50 showed better...
Tumor-educated platelets (TEPs) are emerging as powerful minimally invasive liquid bi-opsy modalities for cancer diagnosis and prognosis. Through crosstalk with tumor cells, sequester tumor-derived molecules exhibit altered RNA splicing, protein content, activation status, all of which reflect biology. Numerous studies have reported that TEP-based assays can distinguish patients from controls, sensi-tivities specificities often exceeding 80%. Furthermore, platelet signatures identify types...
<title>Abstract</title> The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen recent years, yet many cases remain undiagnosed. Advanced artificial intelligence (AI) models using multi-modal data have shown promise disease prediction, but two major challenges persist: the scarcity samples containing all desired modalities and class imbalance T2DM datasets. We propose a novel transfer learning framework to predict onset within five Korean cohorts (KoGES SNUH). To utilize...
// Ji Yun Lee 1, * , Sun Young Kim Charny Park Nayoung K.D. 2, Jiryeon Jang 1 Kyunghee 2 Jun Ho Yi 7 Mineui Hong 3, 4 Taejin Ahn Oliver Rath 5 Julia Schueler Seung Tae In-Gu Do Sujin Se Hoon Yong Ick 6 Dukwhan Joon Oh 3 Suk Won Ki Kang Kyoung-Mee Woong-Yang Yeong Lim Jeeyun Division of Hematology-Oncology, Department Medicine, Samsung Medical Center, Sungkyunkwan University School Seoul, Korea Genome Institute, Innovative Cancer Medicine Pathology and Translational Genomics, Oncotest,...
// Sun Young Kim 1, * , Taejin Ahn 2, Heejin Bang 3, Jun Soo Ham 1 Jusun Seung Tae Jiryeon Jang Moonhee Shim So Kang 3 Se Hoon Park Byung Min 4 Hyuk Lee Won Ki Kyoung-Mee Woongyang 5 Jeeyun Division of Hematology-Oncology, Department Medicine, Samsung Medical Center, Sungkyunkwan University School Seoul, Korea 2 Genome Institute, Pathology and Translational Genomics, Gastroenterology, Molecular Cell Biology, These authors are contributed equally to this work Correspondence to: Lee, email:...
Background: Deep learning has proven to show outstanding performance in resolving recognition and classification problems. As increasing amounts of cancer normal gene expression data become publicly available, deep may an integral component efficiently finding specific patterns within massive datasets. Thus, we aim address the extent which machine can learn recognize cancer. We integrated tissue from Gene Expression Omnibus (GEO), The Cancer Atlas (TCGA), Therapeutically Applicable Research...
// Yeon Hee Park 1, 2, * , Hyun-Tae Shin 3, Hae Hyun Jung 2 Yoon-La Choi 3 TaeJin Ahn Kyunghee Aeri Lee 4 In-Gu Do 5 Ji-Yeon Kim Jin Seok 1 Woong-Yang Young-Hyuck Im Division of Hematology-Oncology, Department Medicine, Samsung Medical Center, Sungkyunkwan University School Seoul, Korea Biomedical Research Institute, Genomic Bio and Brain Engineering, Advanced Institute Science Technology, Daejeon, Center Companion Diagnostics, Innovative Cancer Medicine These authors have contributed...
The International HapMap Project aims to generate detailed human genome variation maps by densely genotyping single-nucleotide polymorphisms (SNPs) in CEPH, Chinese, Japanese, and Yoruba samples. This will undoubtedly become an important facility for genetic studies of diseases complex traits the four populations. To address how information contained such is transferable other populations, Korean government, industries, academics have launched project genotype high-density Encyclopedia DNA...
In this paper, we propose a system to compress Next Generation Sequencing (NGS) information stored in FASTQ file. A file contains text, DNA read and quality for millions or billions of reads. The proposed first parses the into its component fields. partial pass it gathers statistics which are then used choose representation each field that can give best compression. Text data is further parsed repeating variable components entropy coding latter. Similarly, Markov encoding repeat finding...
For DNA sequence Compression, it has been observed that methods based on Markov modeling and repeats give best results. However, these tend to use uniform distribution assumption of mismatches for approximate repeats. We show replacements are not uniformly distributed we can improve compression efficiency by using non mismatches. also propose a hash table method predict repeat location which works well block genomic algorithms. The proposed good gains. be incorporated into any algorithm uses...
// Kyunghee Park 1,* , Moon Ki Choi 2,* Hae Hyun Jung 3 In-Gu Do 4 Kwang Hee Lee 5 TaeJin Ahn 1 Won Ho Kil 6 Seok Kim Jeong Eon Jin Nam Duk-Hwan 7 2 Young-Hyuck Im 2,3 and Yeon Samsung Genomic Institute, Biological Research Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea Division Hematology-Oncology, Department Biomedical Center Companion Diagnostics, Innovative Cancer Medicine Life Science Solutions Group, Thermo Fisher Scientific Corporation, Surgery, Molecular...
Abstract Motivation: Exact sequence search allows a user to for specific DNA subsequence in larger or database. It serves as vital block many areas such Pharmacogenetics, Phylogenetics and Personal Genomics. As sequencing of genomic data becomes increasingly affordable, the amount that must be processed will also increase exponentially. In this context, fast algorithms play an important role exploiting information contained newly sequenced data. Many existing do not scale up well large...
Technological advances in next-generation sequencing (NGS) have made it possible to uncover extensive and dynamic alterations diverse molecular components biological pathways across healthy diseased conditions. Large amounts of multi-omics data originating from emerging NGS experiments require feature engineering, which is a crucial step the process predictive modeling. The underlying relationship among features terms insulin resistance not well understood. In this study, using type II...
최근 국내에서는 기상이변으로 인한 홍수피해가 증가하고 있으나, 환경, 경제 및 정치적 문제로 인해 댐과 같은 대규모 수공구조물의 설치가 어려우며, 이에 대안으로 천변저류지의 설치를 검토하기 시작했다. 천변저류지는 비교적 규모가 작아 대상유역에 설치가능한 후보지가 다수 존재하며, 이들 후보지를 적절히 조합할 경우 효율적인 홍수 조절효과를 기대할 수 있다. 그러나 천변저류지 존재할 최대의 효과를 제공하는 조합을 결정하기는 특히 기존의 연구에서 홍수조절효과 산정을 위해 사용한 부정류해석과 수리학적 접근방법을 적용할 분석에 한계가 있을 본 연구에서는 수문학적 이용하여 홍수조절효과를 산정하고, 최적화 기법인 유전자알고리즘을 다양한 경우에 대한 효율적으로 산정하기 위한 의사결정모형을 개발하였다. 개발된 모형을 안성천수계에 적용하여 모형의 적용성을 검토하였으며, 모형은 계획 수립을 의사결정모형으로 활용할 것으로 판단된다. Due to recent climate change, flood...
Abstract Fragile X syndrome (FXS) is a neurodevelopmental disorder that caused by the loss of X-linked mental retardation protein (FMRP), an RNA binding can bind and recognize different structures regulate target mRNAs’ translation involved in neuronal synaptic plasticity. Perturbations this gene expression network have been related to abnormal behavioral symptoms such as hyperactivity, impulsivity. Considering roles FMRP modulation mRNA translation, we investigated differentially expressed...