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

Genes causative of primary immunodeficiency are risk factors for and are over-expressed in systemic lupus erythematosus

导致原发性免疫缺陷的基因是系统性红斑狼疮的危险因素,并且在系统性红斑狼疮中过度表达。

Davis, Haley; Owen, Katherine A; Labonte, Adam C; Hubbard, Erika L; Kerns, Sophia; Kain, Jessica; Kegerreis, Brian; Bachali, Prathyusha; Grammer, Amrie C; Lipsky, Peter E

Validation of eight endotypes of lupus based on whole-blood RNA profiles

基于全血RNA谱对8种狼疮内型进行验证

Hubbard, Erika; Bachali, Prathyusha; Grammer, Amrie C; Lipsky, Peter E

Knowledge assessment of Tunisian junior doctors in transfusion medicine

对突尼斯初级医生输血医学知识的评估

Ghachem, Ikbel; Kaabar, Mohamed Yassine; Abed, Aymen; Chouaib, Sonia; Bachali, Asma

Transcriptomic Analysis Identifies Disease Severity and Therapeutic Response in Psoriasis

转录组分析可识别银屑病的疾病严重程度和治疗反应

Shrotri, Sneha; Daamen, Andrea; Kingsmore, Kathryn; Bachali, Prathyusha; Grammer, Amrie; Lipsky, Peter

Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations

连接药理学和神经网络:深入探究神经常微分方程

Losada, Idris Bachali; Terranova, Nadia

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Ghachem, Ikbel; Hamzaoui, Lamine; Bachali, Asma; Rhimi, Chayma; Medhioub, Mouna; Mahmoudi, Moufida; Khsiba, Amal; Azouz, Mohamed Msaddak

Publisher Correction: Analysis of transcriptomic features reveals molecular endotypes of SLE with clinical implications

出版商更正:转录组特征分析揭示了系统性红斑狼疮的分子内型及其临床意义

Hubbard, Erika L; Bachali, Prathyusha; Kingsmore, Kathryn M; He, Yisha; Catalina, Michelle D; Grammer, Amrie C; Lipsky, Peter E

Analysis of transcriptomic features reveals molecular endotypes of SLE with clinical implications

转录组特征分析揭示了系统性红斑狼疮的分子内型及其临床意义

Hubbard, Erika L; Bachali, Prathyusha; Kingsmore, Kathryn M; He, Yisha; Catalina, Michelle D; Grammer, Amrie C; Lipsky, Peter E

Molecular mechanisms governing the progression of nephritis in lupus prone mice and human lupus patients

狼疮易感小鼠和人类狼疮患者肾炎进展的分子机制

Daamen, Andrea R; Wang, Hongyang; Bachali, Prathyusha; Shen, Nan; Kingsmore, Kathryn M; Robl, Robert D; Grammer, Amrie C; Fu, Shu Man; Lipsky, Peter E

Classification of COVID-19 Patients into Clinically Relevant Subsets by a Novel Machine Learning Pipeline Using Transcriptomic Features

利用转录组特征,通过新型机器学习流程将 COVID-19 患者分类为临床相关亚组

Daamen, Andrea R; Bachali, Prathyusha; Grammer, Amrie C; Lipsky, Peter E