논문번호 |
논문제목 |
저자 (소속) |
초록 |
발표 |
A1 |
Transiently active regulatory elements during human endothelial differentiation mediate angiogenic activation of colorectal tumor-associated endothelial cells |
JUNG-WOON LEE |
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A2 |
Assembly of complete prokaryotic genomes from human fecal samples using HiFi metagenome sequencing |
Chan Yeong Kim 1†, Junyeong Ma 1, and Insuk Lee 1∗ |
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A3 |
Microbial core genes as a taxonomy marker to discriminate species in bacterial genomes and metagenomes |
Jehyun Jeon1, Ho-jin Gwak1, Hyun Jun Lee2, Mina Rho1,2,* |
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A4 |
Sequencing and analysis to reveal genomic information of Pistia stratiotes(Water lettuce) |
Halim Park, Sunghoon Choi, Myeongji Jung, and Yang Jae Kang* |
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A5 |
Accurately deciphering antibiotic-resistance associated mobile genetic elements with metagenomic sequencing data |
Youna Cho and Mina Rho |
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A6 |
Long-read translatome analysis reveals multi-dimensional regulatory modules for translation |
Ari Hong1,2, Seungbeom Han1,2, Hyeshik Chang1,2,3 |
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A7 |
Long-read translatome analysis reveals multi-dimensional regulatory modules for translation |
Ari Hong1,2, Seungbeom Han1,2, Hyeshik Chang1,2,3 |
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A8 |
Phylogenetic relationship using mitochondrial genome in the Campanulaceae family |
Chang-Kug Kim1, Ji-Nam Kang1, Mi-Hwa Choi1, Si-Myung Lee1 |
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A9 |
SoyDBean (G.max ver): a database for matching SNP positions derived from different soybean reference genomes |
Yejin Lee, Yang Jae Kang* |
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A10 |
Single cell analysis with monodispersed droplet without microfluidics. |
Chaerim Lee |
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A11 |
Transcriptome-wide Analysis of Psoriasis to Uncover its Potential Causal Gene Candidates |
Yeonbin Jeong1, Jaeseung Song1, Wonhee Jang1,* |
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A12 |
Single-cell analysis reveals underlying biology of poor prognosis in colorectal cancer infected by Fusobacterium nucleatum |
Ilseok Choi1, Kyung-A Kim2, Han Sang Kim2,*, Insuk Lee1* |
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A13 |
Phylogenetic analysis of Aspergillus oryzae from traditional meju with whole genome sequencing |
Dong- Hyun Kim1, Ki-Tae Kim2, Jisu Lee1, and Seung-Beom Hong1* |
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A14 |
Polysome profiling with long read sequencing identifies potential bifunctional RNA |
Hansoll Na1, Kyungtae Lee1, Jiwon Choi1, Junho Choe1, 2 and Jin-wu Nam1 , 3 |
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A15 |
Meta-analysis of skin microbiome to identify core microbiome in psoriasis |
Suyeon Lee 1 and Wonhee Jang 2, *
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A16 |
A Transcriptomic analysis of gyrencephalic cortex development in the miniature pig |
Kyung-Tai Kim1,†,* , Hyun-Woo Jeong2,† , Jeong Ah Song1 , Young June Kim1 , Jeong Ho Hwang1,*, SuCheol Han1,*
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A17 |
Evolutionarily and syntenically conserved lncRNAs act as key regulator of neutrophil differentiation |
Jihoon Kim1, Eunkyeong Jang2 , Hee-Joo Choi3 , Jeehee Youn2 , Jeong-Yeon Lee3
and Jin-Wu Nam1
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A18 |
Construction of virtual antibody library for vNAR (Shark variable New Antigen Receptor) based on computational methods |
Soyoung An1,§
, Saehae Choi1,§
, Eun Yi Jeon1,§
, Won-Kyu Lee1
, Jung-Hyun Na2
, and
Hyoung-Sam Heo1,* |
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A19 |
Prioritizing the Susceptibility Genes for Prognosis of Male Pattern Baldness with Transcriptome-wide Association Study |
Eunyoung Choi1
, Jaeseung Song1
, Wonhee Jang1,* |
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A20 |
Benchmarking integration of single-cell differential expression |
Hai C. T. Nguyen1†
, Bukyung Baik1†
, Sora Yoon1,2, Taesung Park3, Dougu Nam1,4* |
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A21 |
Impact of sgRNA secondary structure on editing activity of CRISPR-SpCas9 system |
A Vipin Menon1,2, Jang-il Sohn2
, Seokju Park1,2
, Junseob Han1,2 and Jin-Wu Nam1,2,3,4,5# |
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A22 |
The landscape of circular RNAs in pre- and post-onset stages of gastric cancer |
Seo-Won Choi1
, Hyo Joo Byun2, 3, Sang Kill Lee2, 3, and Jin-Wu Nam1, 4, * |
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A23 |
Transcriptional profiling reveals mesenchymal subtypes of small cell lung cancer with activation of the epithelial-to-mesenchymal transition and worse clinical outcomes |
Hae Jin Cho1,2,3
, Soon Auck Hong4
, Daeun Ryu1,2
, Sook-Hee Hong2,5,*
, Tae-Min
Kim1,2,*
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A24 |
Investigation of skin microbiomes to identify factors affecting the severity of scalp psoriasis |
Hyunseong Kim1
, and Minho Lee1.* |
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A25 |
Inhibition of 11β-Hydroxysteroid dehydrofgenase type 1 can ameliorates liver fibrosis and changes immune cell population in mouse peripheral blood mononuclear cells |
Ji Eun Kim * 1 , Yun Kim*2,3, Ji won Bae 4 , Eileen Laurel Yoon 5 , Hyun Sung Kim 6 , Sung Ryol Lee 7 , Dae Won Jun**1,2,5, Tae Hyun Yoon**4 |
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B1 |
Bioinformatician-Initiated Translational Research: Real-Time Genomic Surveillance for Infection Control and Antibiotic Stewardship |
Jun SR1, Udaondo Z1
, Abram K1, Kothari K1
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B2 |
Pan-cancer 3D chromatin structural changes |
Mooyoung Kim1
, Inkyung Jung1 |
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B3 |
Identification and Analysis of Structural Variation-mediated 3D Chromatin Disorganization in Cancer |
Kyukwang Kim1
, Inkyung Jung1 |
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B4 |
Revealing epigenetic gene regulation mechanisms in gliogenesis |
Seongwan Park1
, Inkyung Jung1 |
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B5 |
Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal |
Baekgyu Choi1
, Inkyung Jung1 |
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B6 |
Single cell based gene module analysis in Ankylosing Spondylitis |
Dongwon Lim1 , Inkyung Jung1 |
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B7 |
A comparison of MiRNA expression from histiocytoma, mast cell tumor and squamous cell carcinoma of dogs |
Eun Pyo Kim1
, WanHeeKim2
, Geon A Kim3 |
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B8 |
Systematic benchmark of data preprocessing methods and classification algorithms for disease predictions based on whole metagenome sequencing |
Sungho Lee1 and Insuk Lee1*
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B9 |
KRAS activation in gastric cancer stem-like cells promotes tumor angiogenesis and metastasis |
Changhwan Yoon1,8, Jun Lu2,8, Yukyung Jun3,8, Yun-Suhk Suh4,5, Bang-Jin Kim1
. Jacob Till6
,
Jong Hyun Kim7
, Sandra Ryeom1
, Sam S. Yoon1 |
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B10 |
Chemotherapy may reset T cell immune profiles in high grade serous ovarian cancer |
Huiram Kang and Hae-Ock Lee |
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B11 |
Aberrant RNA association and compromised translation manifest in the respiratory tissues of SARS-CoV-2 pathology |
junsoo Kim |
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B12 |
Global copy-number alterations were correlated with reduced immune response in ovarian cancer |
Doo Hyun Koh1
, Ju Won Ahn1
, and Sohyun Hwang1,2,3 |
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B13 |
Investigation of the radioresistance biomarker in triple-negative breast cancer (TNBC) using transcriptome analysis |
Seoyeong Kang¹, Arang Son², Changhoon Choi², Wankyu Kim¹ |
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B14 |
Computational Workflow Predicting Metabolites Associated with Somatic Mutation in Cancers by Using a Genome-scale Metabolic Model |
GaRyoung Lee1
, Sang Mi Lee1
, Sungyoung Lee2
, Chang Wook Jeong2
, Hyojin Song2
, Sang
Yup Lee1 Hongseok Yun2
, Youngil Koh2 & Hyun Uk Kim1* |
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B15 |
Meta-analysis of single-cell RNA-sequencing data for depicting transcriptomic landscape of chronic obstructive pulmonary disease |
Yubin Lee1
, Jaeseung Song1
, Wonhee Jang1, * |
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B16 |
A comprehensive evaluation of biomedical named entity recognition |
Yesol Park1,*, Gyujin Son2,*, Mina Rho1,3,† |
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B17 |
A comprehensive evaluation of biomedical named entity recognition |
Yesol Park1,*, Gyujin Son2,*, Mina Rho1,3,† |
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B18 |
T cell exhaustion and senescence in the livers of patients with liver cirrhosis or NASH. |
BYEONGCHANG Sim1,2, Hyon-Seung Yi1,2
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B19 |
Identification of De Novo and Rare Inherited Structural Variants in the Korean Autism Spectrum Disorder Cohort |
Ganghee Lee1,2, JaeHyun Kim1,2, Da-Yea Song3
, Jaehyun Han3,4, Jung Woo Park5
, Junehawk Lee5
, Eunjoon Kim6
,
Hee Jeong Yoo3,4, Joon-Yong An1,2 |
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B20 |
Augmentation of RNA m6A Reader Signature is Associated with Poor Survival by Enhancing Cell Proliferation and EMT across Cancer Types |
Jaeik Oh1,2,9, Chanwoong Hwa3,4,5,9, Dongjun Jang6
, Seungjae Shin6
, Soo-Jin Lee6
, Jiwon
Kim6
, Sang Eun Lee6
, Hae Rim Jung7
, Yumi Oh7
, Giyong Jang7
, Obin Kwon6,7, Joon-Yong
An3,4,*, and Sung-Yup Cho1,6,7,8,* |
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B21 |
Estimating immunological landscape alteration during adenoma-carcinoma sequence of colorectal cancer |
Jaeseung Song 1
, Daeun Kim 1
, Junghyun Jung 1,3, †
, Eunyoung Choi 1
, Yubin Lee 1
, Yeonbin
Jeong 1
, Byungjo Lee 1
, Sora Lee 1
, Yujeong Shim 1
, Youngtae Won 1
, Hyeki Cho 2
, Dong Kee
Jang 2
, Jong Wha J. Joo 3
, Hyunwoo Kang 2, ‡, *
, Wonhee Jang 1, *
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B22 |
BERN2: an advanced neural biomedical named entity recognition and normalization tool |
Mujeen Sung1,†
, Minbyul Jeong1,†
, Yonghwa Choi1
, Donghyeon Kim2
, Jinhyuk Lee1,*, and
Jaewoo Kang1,3,* |
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B23 |
Sequence tagging for biomedical extractive question answering |
Wonjin Yoon, Richard Jackson, Aron Lagerberg, Jaewoo Kang* |
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B24 |
Clinical & Omics Data Archive |
Yun Gyeong Lee1
, Kim Jeong Eun1
, Mi Yeong Hwang1
, Ye-Eun Han1
, SunHo
Choi1
, You Jin Kim1
, Dongun No1
, Hee Youl Chai1
, and Park Hyun-Young2* |
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B25 |
Development of alternative testing methods for drug-induced liver injury prediction |
Hyun Kil Shin1
, Se-Myo Park1
, Hang-Suk Chun1
, Sangwoo Lee1
, Daeui Park1,2, Myung-Gyun Kang1
,
Jung-Hwa Oh1,2, Woo-Keun Kim1,2
, Seokjoo Yoon1,2
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C1 |
Wavelet-transform based inter-resolution contact matrix processing |
Dongchan Yang1 and Inkyung Jung1
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C2 |
An equivariant graph neural network for assessing the quality of structural models of protein complexes |
Ha Young Kim |
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C3 |
Machine learning methods for predicting DNA- and RNA-binding proteins reveal that protein domains are not the main contributors to identify nucleic acid-binding proteins |
Sung-Gwon Lee and Chungoo Park
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C4 |
Degree-aware algorithms for Variational Autoencoders based breast cancer gene prioritization using proteotranscriptomic data. |
Jong-Ho Ji1,2, Min-Young Song3
, Byung Gon Kim1,2,6, Hyunjung Shin4,5 and
Soo Youn Lee1,2* |
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C5 |
Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome k-mer Sets |
Jang-il Sohn1,2,&, Min-Hak Choi1,&, Dohun Yi1,&, A Vipin Menon1, Yeon Jeong Kim3, Junehawk Lee4, Jung Woo
Park4
, Sungkyu Kyung5
, Seung-Ho Shin5
, Byunggook Na6
, Je-Gun Joung7
, Young Seok Ju8,9
, Min Sun Yeom4
,
Youngil Koh10, Sung-Soo Yoon10, Daehyun Baek11, Tae-Min Kim12, and Jin-Wu Nam1,2,13* |
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C6 |
PIC-Me: Paralogs and Isoforms Classifier based on Machine-learning approaches |
Jooseong Oh#
, Sung-Gwon Lee#
, and Chungoo Park* |
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C7 |
A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists |
Jooseong Oh1
, Hyi-thaek Ceong*,2, Dokyun Na*,3, and Chungoo Park*,1 |
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C8 |
다변량 단일요인모형을 이용한 다차원 약물반응도 예측 방법 |
SungMin Chi and SaeYoung Park |
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C9 |
Designing Complementarity Determining Regions with a Given Antibody-Antigen Complex Structure using Equivariant Graph Neural Network |
Woosung Jeon |
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C10 |
Evaluation and reconstruction of sequence-based protein function prediction models in KO annotation. |
Euihyun Bhae1
, Shinhyun Park2
, Mina Rho1,2,3
* |
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C11 |
Multi-leveled Guilt-by-Association based drug repurposing by integrating clinical knowledge on biological heterogeneous networks |
Dongmin Bang |
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C12 |
Memory efficient assembler with simple cycle removal |
Taehee Kim and Mina Rho |
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C13 |
5-메틸사이토신 분석을 위한 NgTET1 효소 엔지니어링 |
Chanwoo Moon |
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C14 |
Development of an Analytical Algorithm for Human O-GlcNAcylation using LC-MS/MS |
Dasom An1
, Hyejin Kim1,2, Jin Young Kim1
, Jong Shin Yoo1,2, Heeyoun Hwang1*
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C15 |
Deconvolution of Transcriptomic Changes Caused by Drug Multi-target Perturbation using Neural Network |
Ji-Eun Sung |
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C16 |
RepeatLab: a user-friendly diagnosis pipeline for repeat expansion diseases using targeted nanopore sequencing |
Yoojung Han1,2, Hyeshik Chang1,2,3*
, and Ja-Hyun Jang4* |
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C17 |
Machine Learning-Based Evaluation of Model Extraction and Simulation Methods for High-Quality Cancer Patient-Specific Metabolic Models |
Sang Mi Lee1
, GaRyoung Lee1
, Hyun Uk Kim1* |
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C18 |
Generating ML-QSAR model to predict antioxidant activity of novel compounds |
Juyoung Cho, Sanghwa Yoon and Yang Jae Kang* |
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C19 |
Predicting blood-brain-barrier penetration using LightGBM algorithm |
Bilal Shaker1
, Myeong-Sang Yu1
, Jin Sook Song2
, Sunjoo Ahn2
, Jae Yong Ryu2
, Kwang-Seok
Oh2
, and Dokyun Na1,* |
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C20 |
Interpretable Drug Response Prediction Model Using Knowledge-Guided Graph Neural Networks and Transformer |
Jihye Shin
1 Yinhua Piao
2 Sun
Kim
1,2,3,4 Kyuri Jo
5
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C21 |
Cancer survival prediction from multi-omics data using machine learning |
Kyung Eun Kim1
, Je-Keun Rhee1* |
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C22 |
Designing potent and safe drug candidates by deep reinforcement learning algorithms with relative topological distance-based electron interaction tensor as an input representation |
Hyun Kil Shin1
, Seungsang Oh2 |
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C23 |
shRNAI: Highly Accurate Prediction of shRNA Potency with a Deep Neural Network |
Seokju Park and Jin-Wu Nam |
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C24 |
Comprehensive analysis of single nucleotide variant detection via read-depth differences of whole genome sequencing data |
Soobok Joe1
, Dongyoon Lee1
, Jisu Kim1
, Jin Ok Yang1,2,*
, and Seon-Young Kim1,3,*
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C25 |
Comparative analysis of structural variation callers for massive whole genome sequence data |
Soobok Joe1
, Jin Ok Yang1,2, and Seon-Young Kim1,3,*
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C26 |
Predicting mechanism of action of novel compounds using compound structure and transcriptomic signature co-embedding |
Gwanghoon Jang1
, Sungjoon Park1,*, Sanghoon Lee1,3, Sunkyu Kim1,3, Sejeong Park1,3 and
Jaewoo Kang1,2,3,* |
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C27 |
Development of a pipeline analyzing whole genome sequencing data of S. pneumoniae causing pneumonia |
Eunju Hong1
, Hyunseong Kim1
, and Minho Lee1.* |
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C28 |
Identifying redundant barcode sequences for pooling deletion strains in S.Pombe knock-out library |
Eunju Hong1
, and Minho Lee1.* |
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C29 |
Cell type estimation from lncRNA expression in bulk tissue by deep neural networks |
Hye-Lim Mo1
, Je-Keun Rhee1* |
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C30 |
Investigation of cancer metabolic subtypes according to mitochondrial respiration dependence |
Soyeon Jeong†
, Soyeong Son†
, Minsung Lee†
, Sang-Min Park*
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C31 |
Immune cell composition prediction from miRNA expression profiles using random forest |
Seoyoung Park1
, Je-Keun Rhee1*
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D1 |
Cell type common super-enhancers shape speckle-associated inter-chromosomal interactions |
Jaegeon Joo1
, Inkyung Jung1 |
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D2 |
Molecular Docking Study for indazole based derivatives towards AblT315I kinase |
Jung Woo Park1* |
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D3 |
Identification of toxic signature in transcriptomic space |
Inyoung Sung1†
, Sangseon Lee
2†
, Dongmin Bang
1 and Sun Kim1,3,4,5,*
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D4 |
The molecular characteristic of weighted gene co-expression networks at cellular senescence |
Seonjeong Woo1
, Dong Jun Shin1
, Sohyun Hwang1,2,3,* |
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D5 |
Metabuli: a metagenomic classifier that combines protein- and DNA level classification to achieve both high sensitivity and specificity |
Jae Beom Kim |
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D6 |
Integrative proteogenomic analysis reveals long noncoding RNA-encoded micropeptide in triple-negative human breast cancer |
Seongmin Cheon1, 2, †
, Sarang Kim2,3, †
, Hyeyoon Kim1,3, and Dohyun Han1,3,* |
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D7 |
scHumanNet: a single-cell network analysis platform for the study of cell-type specificity of disease genes |
Junha Cha1
, Jiwon Yu1
, Jae-Won Cho2
, Martin Hemberg2,*, Insuk Lee1,3* |
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D8 |
Deciphering differences of race and age with microbiome and resistome in human gut |
Erin Kim and Mina Rho |
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D9 |
Predicting bioactivities of chemical compounds based on graph attention network |
Heesang Moon, Minyoung Kim, and Mina Rho |
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D10 |
A BERT-based functional peptide screening model |
Byungjo Lee1
, Min Kyoung Shin1
, Jung-Suk Sung1
, and Wonhee Jang1* |
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D11 |
Proteome Data Platform for Data Collection and Analysis : Rice Proteome |
DongU Woo, Yang Jae Kang* |
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D12 |
Web application for stress-responses of Arabidopsis thaliana |
Hohwi Jeon, Yang Jae Kang* |
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D13 |
An effect of the rice strain in the genetic variant calling |
Sunhee Kim, Dongju Lee, and Chang-Yong Lee |
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D14 |
Gene Regulatory Network Reveals the Landscape of Myeloid Dendritic Cell Differentiation |
Seoyeon Kim1
, Chanwoong Hwa1,2, Giri Nam3
, Eun Young Choi3
, and Joon-Yong An1,2,4* |
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D15 |
NanoTox Radar: nanotoxicity prediction platform through incorporation of in vitro and in silico data |
Hyun Kil Shin1‡, Kyeong Hwan Ahn2‡, Soojin Kim1,3, Bosung Ku2, Jimin Choi2,Sang-Hyun Lee2*, Seokjoo Yoon1,4* |
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D16 |
TENET+: a tool for reconstructing gene networks by integrating single cell expression and chromatin accessibility data |
Hyeonkyu Kim1#, Jiyoung Lee1#, Hoebin Chung1, Junil Kim1,@ |
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D17 |
Identification of kinase network underlying whole-genome doubling in non-small cell lung cancer |
Eunhyong Chang1,2, Seunghwan Choi2, Joon-Yong An1,2,3 |
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D18 |
A robust and reliable approach for integrative transcriptome analysis through pathway impact score |
Yeo-Gha Yoon |
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D19 |
Prediction of Drug-Target Interaction based on Drug-Drug similarity network |
HeeWon Yoon |
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D20 |
Screening drug-target interaction using three-dimensional physicochemical representation with protein pocket attention. |
Gina Ryu |
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D21 |
Identification of Neighbor-Specific Gene Signatures Between Malignant and Tumor microenvironments by Integrating Single Cell and Spatial transcriptomics data |
Jahanzeb Saqib1*, Beomsu Park1, Gahyun Kim1, Junil Kim1,@ |
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