Reply to Comment on: Tacrolimus in the treatment of childhood nephrotic syndrome: Machine learning detects novel biomarkers and predicts efficacy

医学 药店 家庭医学 中心(范畴论) 图书馆学 儿科 化学 计算机科学 结晶学
作者
Xiaolan Mo,Xiujuan Chen,Huasong Zeng,Wei Zheng,Chifong Ieong,Huixian Li,Qiongbo Huang,Zichuan Xu,Jinlian Yang,Qianying Liang,Huiying Liang,Xia Gao,Min Huang,Jiali Li
出处
期刊:Pharmacotherapy [Wiley]
卷期号:43 (4): 351-353
标识
DOI:10.1002/phar.2788
摘要

Pharmacotherapy: The Journal of Human Pharmacology and Drug TherapyVolume 43, Issue 4 p. 351-353 LETTER TO THE EDITOR Reply to Comment on: Tacrolimus in the treatment of childhood nephrotic syndrome: Machine learning detects novel biomarkers and predicts efficacy Xiaolan Mo, Xiaolan Mo orcid.org/0000-0003-3623-3474 Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, ChinaSearch for more papers by this authorXiujuan Chen, Xiujuan Chen Department of Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSearch for more papers by this authorHuasong Zeng, Huasong Zeng Division of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorWei Zheng, Wei Zheng Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorChifong Ieong, Chifong Ieong Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, ChinaSearch for more papers by this authorHuixian Li, Huixian Li Department of Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSearch for more papers by this authorQiongbo Huang, Qiongbo Huang Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorZichuan Xu, Zichuan Xu Division of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorJinlian Yang, Jinlian Yang Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorQianying Liang, Qianying Liang Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorHuiying Liang, Huiying Liang Department of Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSearch for more papers by this authorXia Gao, Xia Gao Division of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorMin Huang, Min Huang Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, ChinaSearch for more papers by this authorJiali Li, Corresponding Author Jiali Li [email protected] Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China Correspondence Jiali Li, Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China. Email: [email protected]Search for more papers by this author Xiaolan Mo, Xiaolan Mo orcid.org/0000-0003-3623-3474 Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, ChinaSearch for more papers by this authorXiujuan Chen, Xiujuan Chen Department of Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSearch for more papers by this authorHuasong Zeng, Huasong Zeng Division of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorWei Zheng, Wei Zheng Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorChifong Ieong, Chifong Ieong Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, ChinaSearch for more papers by this authorHuixian Li, Huixian Li Department of Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSearch for more papers by this authorQiongbo Huang, Qiongbo Huang Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorZichuan Xu, Zichuan Xu Division of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorJinlian Yang, Jinlian Yang Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorQianying Liang, Qianying Liang Department of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorHuiying Liang, Huiying Liang Department of Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSearch for more papers by this authorXia Gao, Xia Gao Division of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, ChinaSearch for more papers by this authorMin Huang, Min Huang Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, ChinaSearch for more papers by this authorJiali Li, Corresponding Author Jiali Li [email protected] Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China Correspondence Jiali Li, Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China. Email: [email protected]Search for more papers by this author First published: 26 March 2023 https://doi.org/10.1002/phar.2788Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. REFERENCES 1Alan A. An Introduction to Categorical Data Analysis. 2nd ed. JohnWiley & Sons; 2007. 2Ramspek CL, Jager KJ, Dekker FW, Zoccali C, van Diepen M. External validation of prognostic models: what, why, how, when and where? Clin Kidney J. 2021; 1: 49- 58. 3Waljee AK, Mukherjee A, Singal AG, et al. Comparison of imputation methods for missing laboratory data in medicine. BMJ Open. 2013; 8:e002847. Volume43, Issue4April 2023Pages 351-353 ReferencesRelatedInformation

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
传奇3应助哒哒哒宰采纳,获得10
1秒前
着急的彩虹完成签到,获得积分10
1秒前
Coco发布了新的文献求助30
2秒前
molihuakai应助XFF采纳,获得10
2秒前
Nikii发布了新的文献求助10
2秒前
yyinh完成签到 ,获得积分10
2秒前
2秒前
金振龙完成签到,获得积分10
2秒前
tsf完成签到,获得积分10
2秒前
茉行完成签到,获得积分10
3秒前
三不知完成签到,获得积分10
3秒前
qiandaizi完成签到,获得积分10
3秒前
77完成签到,获得积分10
3秒前
个性的夜白完成签到,获得积分10
3秒前
李哈哈发布了新的文献求助10
4秒前
生动芝麻发布了新的文献求助10
4秒前
大大完成签到,获得积分10
4秒前
我是老大应助哒哒哒宰采纳,获得10
5秒前
爱炸鸡也爱烧烤完成签到 ,获得积分10
5秒前
自信的以旋完成签到 ,获得积分10
5秒前
上官若男应助好运6连采纳,获得10
5秒前
Cyndilovetodrink完成签到,获得积分10
5秒前
年年完成签到,获得积分10
5秒前
牧小妮完成签到,获得积分10
5秒前
luozhen完成签到,获得积分10
5秒前
5秒前
wings发布了新的文献求助30
5秒前
阿皮发布了新的文献求助10
6秒前
6秒前
Alex完成签到,获得积分10
6秒前
czd完成签到,获得积分10
7秒前
我是老大应助万木春采纳,获得10
7秒前
无极微光应助包容渊思采纳,获得20
7秒前
Solar_Parsifal完成签到,获得积分10
7秒前
秀秀应助啵啵龙采纳,获得10
9秒前
10秒前
zouzh完成签到 ,获得积分10
10秒前
11秒前
wait完成签到 ,获得积分10
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6384967
求助须知:如何正确求助?哪些是违规求助? 8198184
关于积分的说明 17339295
捐赠科研通 5438554
什么是DOI,文献DOI怎么找? 2876129
邀请新用户注册赠送积分活动 1852690
关于科研通互助平台的介绍 1697046