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

Enhancing Genomic Prediction Accuracy for Body Conformation Traits in Korean Holstein Cattle

提高韩国荷斯坦牛体型性状的基因组预测准确性

期刊:Animals
影响因子:2.7
doi:10.3390/ani14071052
Lee, Jungjae; Mun, Hyosik; Koo, Yangmo; Park, Sangchul; Kim, Junsoo; Yu, Seongpil; Shin, Jiseob; Lee, Jaegu; Son, Jihyun; Park, Chanhyuk; Lee, Seokhyun; Song, Hyungjun; Kim, Sungjin; Dang, Changgwon; Park, Jun
发表日期：2024
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A Lightweight Deep Learning Network on a System-on-Chip for Wearable Ultrasound Bladder Volume Measurement Systems: Preliminary Study

用于可穿戴式超声膀胱容量测量系统的轻量级片上深度学习网络：初步研究

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering10050525
Cho, Hyunwoo; Song, Ilseob; Jang, Jihun; Yoo, Yangmo
发表日期：2023
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Genomic evaluation of carcass traits of Korean beef cattle Hanwoo using a single-step marker effect model

利用单步标记效应模型对韩国韩牛胴体性状进行基因组评价

期刊:Journal of Animal Science
影响因子:2.9
doi:10.1093/jas/skad104
Koo, Yangmo; Alkhoder, Hatem; Choi, Tae-Jeong; Liu, Zengting; Reents, Reinhard
发表日期：2023
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Genetic Diversity and Sequence Conservation of Peptide-Binding Regions of MHC Class I Genes in Pig, Cattle, Chimpanzee, and Human

猪、牛、黑猩猩和人类MHC I类基因肽结合区的遗传多样性和序列保守性

期刊:Genes
影响因子:2.8
doi:10.3390/genes15010007
Youk, Seungyeon; Kang, Mingue; Ahn, Byeongyong; Koo, Yangmo; Park, Chankyu
Human
发表日期：2023
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Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features

机器学习预测 ER+HER2 乳腺癌新辅助化疗的病理完全缓解：整合肿瘤和肿瘤周围 MRI 放射组学特征

期刊:Diagnostics
影响因子:
doi:10.3390/diagnostics13193031
Jiwoo Park, Min Jung Kim, Jong-Hyun Yoon, Kyunghwa Han, Eun-Kyung Kim, Joo Hyuk Sohn, Young Han Lee, Yangmo Yoo
肿瘤
乳腺癌
发表日期：2023
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