Soyeon Kim

发表

Expression quantitative trait methylation analysis reveals methylomic associations with gene expression in childhood asthma.

G. Canino, J. Celedón, Q. Yan, 2020, Chest.

SNPs identified by GWAS affect asthma risk through DNA methylation and expression of cis-genes in airway epithelium

G. Canino, J. Celedón, Q. Yan, 2019, European Respiratory Journal.

3′-UTR Shortening Contributes to Subtype-Specific Cancer Growth by Breaking Stable ceRNA Crosstalk of Housekeeping Genes

S. Oesterreich, H. Park, B. Diergaarde, 2019, bioRxiv.

Alternative Polyadenylation Modifies Target Sites of MicroRNAs with Clinical Potential for Breast Cancer Progression

G. Tseng, H. Park, B. Diergaarde, 2019 .

Alternative Polyadenylation Regulates Patient-specific Tumor Growth by Individualizing the MicroRNA Target Site Landscape

G. Tseng, H. Park, B. Diergaarde, 2019, bioRxiv.

3ʹ-UTR shortening disrupts ceRNA crosstalk of housekeeping genes resulting in subtype-specific breast cancer development

H. Park, B. Diergaarde, Soyeon Kim, 2019 .

3′-UTR Shortening Contributes to Subtype-Specific Cancer Growth by Breaking Stable ceRNA Crosstalk of Housekeeping Genes

S. Oesterreich, H. Park, B. Diergaarde, 2019, bioRxiv.

Model-based analysis of competing-endogenous pathways (MACPath) in human cancers

Wei Li, Soyeon Kim, Hyun Jung Park, 2018, PLoS Comput. Biol..

Collective effects of long-range DNA methylations predict gene expressions and estimate phenotypes in cancer

X. Cui, H. Park, D. Zhi, 2020, Scientific Reports.

Leveraging collective regulatory effects of long-range DNA methylations to predict gene expressions and estimate their effects on phenotypes in cancer

X. Cui, D. Zhi, H. Park, 2018, bioRxiv.

scMAPA: Identification of cell-type–specific alternative polyadenylation in complex tissues

Robert M. Morrison, H. Zarour, Yidi Qin, 2022, GigaScience.

Identifying genes with cell-type-specific alternative polyadenylation in multi-cluster single-cell transcriptomics data

Robert M. Morrison, H. Zarour, Yidi Qin, 2020 .

Identifying genes and cell types with dynamic alternative polyadenylation in multi-cluster single-cell transcriptomics data

Yidi Qin, R. Koldamova, Yulong Bai, 2020, bioRxiv.

Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials

John C. Lin, D. Notterman, J. Carcillo, 2022, Critical Care.

Transcriptome-wide and differential expression network analyses of childhood asthma in nasal epithelium.

D. Weeks, G. Canino, J. Celedón, 2020, The Journal of allergy and clinical immunology.

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

J. Carcillo, Yidi Qin, K. Kernan, 2023, Frontiers in Pediatrics.

Multi-omics colocalization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus

Matthew C. Altman, D. Nicolae, J. Celedón, 2021, Genome medicine.

Causal inference using deep-learning variable selection identifies and incorporates direct and indirect causalities in complex biological systems

J. Carcillo, P. Benos, S. Canna, 2021, bioRxiv.

The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer

George C. Tseng, Zhenjiang Fan, Hyun Jung Park, 2020, Briefings Bioinform..

Multi-omics colocalization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus

Matthew C. Altman, D. Nicolae, C. Ober, 2019, Genome Medicine.

Identifying genes and cell types with dynamic alternative polyadenylation in multi-cluster single-cell transcriptomics data

Yidi Qin, R. Koldamova, Yulong Bai, 2020, bioRxiv.

A genome-wide association study of severe asthma exacerbations in Latino children and adolescents

E. Burchard, Sam S. Oh, M. Pino-Yanes, 2020, European Respiratory Journal.

Expression quantitative trait methylation analysis reveals methylomic associations with gene expression in childhood asthma

G. Canino, J. Celedón, Wei Chen, 2020, bioRxiv.

3′ UTR shortening represses tumor-suppressor genes in trans by disrupting ceRNA crosstalk

Jianzhong Su, Wei Li, Zheng Xia, 2018, Nature Genetics.

Exposure to violence, chronic stress, nasal DNA methylation, and atopic asthma in children

J. Vonk, G. Koppelman, G. Canino, 2021, Pediatric pulmonology.

Exposure to violence, chronic stress, nasal DNA methylation, and atopic asthma in children

J. Vonk, G. Koppelman, G. Canino, 2020, medRxiv.

Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems

J. Carcillo, P. Benos, S. Canna, 2022, GigaScience.

Collective effects of long-range DNA methylations predict gene expressions and estimate phenotypes in cancer

X. Cui, H. Park, D. Zhi, 2020, Scientific Reports.

3′ UTR shortening represses tumor-suppressor genes in trans by disrupting ceRNA crosstalk

J. Neilson, Wei Li, E. Wagner, 2018, Nature Genetics.

Derivation of four computable 24-hour pediatric sepsis phenotypes to facilitate personalized enrollment in early precise anti-inflammatory clinical trials

John C. Lin, D. Notterman, J. Carcillo, 2021, medRxiv.

Cell-type-specific alternative polyadenylation (APA) genes reveal the function of dynamic APA in complex tissues

Robert M. Morrison, Yidi Qin, R. Koldamova, 2020 .

Peer Review #2 of "Predicting gene expression using DNA methylation in three human populations (v0.2)"

Soyeon Kim, Hua Zhong, Xian‐Wei Cui, 2019 .

The microRNA target site profile is a novel biomarker in the immunotherapy response

Yidi Qin, Yulong Bai, Soyeon Kim, 2023, Frontiers in oncology.