日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Drug toxicity prediction based on genotype-phenotype differences between preclinical models and humans

基于临床前模型与人类基因型-表型差异的药物毒性预测

Park, Minhyuk; Song, Woomin; Ahn, Hyunsoo; Kim, Sanguk

Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing

利用全外显子组测序对非综合征性侧方钉状畸形进行遗传分析

Choi, Junglim; Kim, Sungnam; Ahn, Hyunsoo; Kim, Donghyo; Cho, Sung-Won; Kim, Sanguk; Lee, Jae Hoon

Cell-cell communication network-based interpretable machine learning predicts cancer patient response to immune checkpoint inhibitors

基于细胞间通讯网络的可解释机器学习预测癌症患者对免疫检查点抑制剂的反应

Lee, Juhun; Kim, Donghyo; Kong, JungHo; Ha, Doyeon; Kim, Inhae; Park, Minhyuk; Lee, Kwanghwan; Im, Sin-Hyeog; Kim, Sanguk

OASIS portable: User-friendly offline suite for secure survival analysis

OASIS 便携版:用户友好的离线安全生存分析套件

Han, Seong Kyu; Kwon, Hyunwoo C; Yang, Jae-Seong; Kim, Sanguk; Lee, Seung-Jae V

expHRD: an individualized, transcriptome-based prediction model for homologous recombination deficiency assessment in cancer

expHRD:一种基于转录组的个体化预测模型,用于评估癌症中的同源重组缺陷。

Lee, Jae Jun; Kang, Hyun Ju; Kim, Donghyo; Lim, Si On; Kim, Stephanie S; Kim, Gahyun; Kim, Sanguk; Lee, Jin-Ku; Kim, Jinho

Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans

基于细胞和人类基因扰动效应差异的药物审批预测

Park, Minhyuk; Kim, Donghyo; Kim, Inhae; Im, Sin-Hyeog; Kim, Sanguk

Development of bioinformatics and multi-omics analyses in organoids

类器官生物信息学和多组学分析的发展

Ha, Doyeon; Kong, JungHo; Kim, Donghyo; Lee, Kwanghwan; Lee, Juhun; Park, Minhyuk; Ahn, Hyunsoo; Oh, Youngchul; Kim, Sanguk

Identification of novel candidate genes associated with non-syndromic tooth agenesis in Mongolian families

蒙古族家族中与非综合征性牙齿缺失相关的新候选基因的鉴定

Semjid, Dejidnorov; Ahn, Hyunsoo; Bayarmagnai, Sapaar; Gantumur, Munkhjargal; Kim, Sanguk; Lee, Jae Hoon

Identification of potential key variants in mandibular premolar hypodontia through whole-exome sequencing

通过全外显子组测序鉴定下颌前磨牙缺失症的潜在关键变异

Lee, Shinyeop; Ahn, Hyunsoo; Kim, Hyeonhye; Lee, Kwanghwan; Kim, Sanguk; Lee, Jae Hoon

Network-based machine learning approach to predict immunotherapy response in cancer patients

基于网络的机器学习方法预测癌症患者的免疫治疗反应

Kong, JungHo; Ha, Doyeon; Lee, Juhun; Kim, Inhae; Park, Minhyuk; Im, Sin-Hyeog; Shin, Kunyoo; Kim, Sanguk