Search Results - "Yoon, Youngmi"

Drug repositioning using drug-disease vectors based on an integrated network by Lee, Taekeon, Yoon, Youngmi

“…Diverse interactions occur between biomolecules, such as activation, inhibition, expression, or repression. However, previous network-based studies of drug…”
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A network-based classification model for deriving novel drug-disease associations and assessing their molecular actions by Oh, Min, Ahn, Jaegyoon, Yoon, Youngmi

“…The growing number and variety of genetic network datasets increases the feasibility of understanding how drugs and diseases are associated at the molecular…”
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PISTON: Predicting drug indications and side effects using topic modeling and natural language processing by Jang, Giup, Lee, Taekeon, Hwang, Soyoun, Park, Chihyun, Ahn, Jaegyoon, Seo, Sukyung, Hwang, Youhyeon, Yoon, Youngmi

“…[Display omitted] •We propose an algorithm for predicting novel drug-phenotype associations and drug-side effect associations using topic modeling and natural…”
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A multi-sample based method for identifying common CNVs in normal human genomic structure using high-resolution aCGH data by Park, Chihyun, Ahn, Jaegyoon, Yoon, Youngmi, Park, Sanghyun

“…It is difficult to identify copy number variations (CNV) in normal human genomic data due to noise and non-linear relationships between different genomic…”
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Microarray Data Classifier Consisting of k-Top-Scoring Rank-Comparison Decision Rules With a Variable Number of Genes by YOON, Youngmi, BIEN, Sangjay, PARK, Sanghyun

“…Microarray experiments generate quantitative expression measurements for thousands of genes simultaneously, which is useful for phenotype classification of…”
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Improved method for protein complex detection using bottleneck proteins by Ahn, Jaegyoon, Lee, Dae Hyun, Yoon, Youngmi, Yeu, Yunku, Park, Sanghyun

“…Detecting protein complexes is one of essential and fundamental tasks in understanding various biological functions or processes. Therefore accurate…”
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Direct integration of microarrays for selecting informative genes and phenotype classification by Yoon, Youngmi, Lee, Jongchan, Park, Sanghyun, Bien, Sangjay, Chung, Hyun Cheol, Rha, Sun Young

“…The ability to provide thousands of gene expression values simultaneously makes microarray data very useful for phenotype classification. A major constraint in…”
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Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers by Choi, Jonghwan, Park, Sanghyun, Yoon, Youngmi, Ahn, Jaegyoon

“…Identification of genes that can be used to predict prognosis in patients with cancer is important in that it can lead to improved therapy, and can also…”
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Protein localization vector propagation: a method for improving the accuracy of drug repositioning by Yeu, Yunku, Yoon, Youngmi, Park, Sanghyun

“…Identifying alternative indications for known drugs is important for the pharmaceutical industry. Many computational methods have been proposed for predicting…”
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Prediction of Side Effects Using Comprehensive Similarity Measures by Yoon, Youngmi, Kim, Mi-hyun, Lee, Taekeon, Seo, Sukyung

“…Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical industry. The existing side effect prediction methods…”
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Literature-based prediction of novel drug indications considering relationships between entities by Jang, Giup, Lee, Taekeon, Lee, Byung Mun, Yoon, Youngmi

“…There have been many attempts to identify and develop new uses for existing drugs, which is known as drug repositioning. Among these efforts, text mining is an…”
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Systematic identification of differential gene network to elucidate Alzheimer's disease by Park, Chihyun, Yoon, Youngmi, Oh, Min, Yu, Seok Jong, Ahn, Jaegyoon

“…•We focus on revealing the mechanism of Alzheimer's disease (AD) by network analysis.•We present a novel method to construct a gene network by integrating…”
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Integrative gene network construction for predicting a set of complementary prostate cancer genes by Ahn, Jaegyoon, Yoon, Youngmi, Park, Chihyun, Shin, Eunji, Park, Sanghyun

“…Motivation: Diagnosis and prognosis of cancer and understanding oncogenesis within the context of biological pathways is one of the most important research…”
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Drug voyager: a computational platform for exploring unintended drug action by Oh, Min, Ahn, Jaegyoon, Lee, Taekeon, Jang, Giup, Park, Chihyun, Yoon, Youngmi

“…The dominant paradigm in understanding drug action focuses on the intended therapeutic effects and frequent adverse reactions. However, this approach may limit…”
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DSS: A biclustering method to identify diverse and state specific gene modules in gene expression data by Jungrim Kim, Yunku Yeu, Jeongwoo Kim, Youngmi Yoon, Park, Sanghyun

“…The biclustering method is a useful co-clustering technique to identify biologically relevant gene modules. In this paper, we propose a novel method to find…”
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LGscore: A method to identify disease-related genes using biological literature and Google data by Kim, Jeongwoo, Kim, Hyunjin, Yoon, Youngmi, Park, Sanghyun

“…[Display omitted] •We constructed disease-related gene network using literature and Google data.•We identified disease-related genes using analysis of the gene…”
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A literature-driven method to calculate similarities among diseases by Kim, Hyunjin, Yoon, Youngmi, Ahn, Jaegyoon, Park, Sanghyun

“…Highlights • We proposed a novel method which calculates disease–disease similarity. • The proposed method can be used in constructing of disease network. •…”
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BulkAligner: A novel sequence alignment algorithm based on graph theory and Trinity by Lee, Junsu, Yeu, Yunku, Roh, Hongchan, Yoon, Youngmi, Park, Sanghyun

“…Sequence alignment is a widely-used tool in genomics. With the development of next generation sequencing (NGS) technology, the production of sequence read data…”
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Identifying the common genetic networks of ADR (adverse drug reaction) clusters and developing an ADR classification model by Hwang, Youhyeon, Oh, Min, Jang, Giup, Lee, Taekeon, Park, Chihyun, Ahn, Jaegyoon, Yoon, Youngmi

“…Adverse drug reactions (ADRs) are one of the major concerns threatening public health and have resulted in failures in drug development. Thus, predicting ADRs…”
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A method of extracting disease-related microRNAs through the propagation algorithm using the environmental factor based global miRNA network by Ha, Jihwan, Kim, Hyunjin, Yoon, Youngmi, Park, Sanghyun

“…MicroRNAs (miRNA) are known to be involved in the development of various diseases. Hence various scientists in the field have been utilized computational…”
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