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

Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules

基于健康多组织人类RNA测序数据嵌入的潜在空间算术可解码疾病模块

de Weerd, Hendrik A; Guala, Dimitri; Gustafsson, Mika; Synnergren, Jane; Tegnér, Jesper; Lubovac-Pilav, Zelmina; Magnusson, Rasmus

Multi-omics profiling to identify early plasma biomarkers in pre-diagnostic pancreatic ductal adenocarcinoma: a nested case-control study

利用多组学分析识别胰腺导管腺癌早期血浆生物标志物:一项嵌套病例对照研究

Borgmästars, Emmy; Ulfenborg, Benjamin; Johansson, Mattias; Jonsson, Pär; Billing, Ola; Franklin, Oskar; Lundin, Christina; Jacobson, Sara; Simm, Maja; Lubovac-Pilav, Zelmina; Sund, Malin

Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank

利用瑞典前瞻性人群生物样本库的血浆样本进行代谢组学早期胰腺癌检测

Borgmästars, Emmy; Jacobson, Sara; Simm, Maja; Johansson, Mattias; Billing, Ola; Lundin, Christina; Nyström, Hanna; Öhlund, Daniel; Lubovac-Pilav, Zelmina; Jonsson, Pär; Franklin, Oskar; Sund, Malin

Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis

蛋白质组学揭示多发性硬化症的诊断、疾病活动和长期残疾结果的生物标志物

Åkesson, Julia; Hojjati, Sara; Hellberg, Sandra; Raffetseder, Johanna; Khademi, Mohsen; Rynkowski, Robert; Kockum, Ingrid; Altafini, Claudio; Lubovac-Pilav, Zelmina; Mellergård, Johan; Jenmalm, Maria C; Piehl, Fredrik; Olsson, Tomas; Ernerudh, Jan; Gustafsson, Mika

Bioinformatics analysis of miRNAs in the neuroblastoma 11q-deleted region reveals a role of miR-548l in both 11q-deleted and MYCN amplified tumour cells

神经母细胞瘤 11q 缺失区域中 miRNA 的生物信息学分析揭示了 miR-548l 在 11q 缺失和 MYCN 扩增肿瘤细胞中的作用

Sanja Jurcevic #, Simon Keane #, Emmy Borgmästars, Zelmina Lubovac-Pilav #, Katarina Ejeskär #

MODalyseR-a novel software for inference of disease module hub regulators identified a putative multiple sclerosis regulator supported by independent eQTL data

MODalyseR 是一款用于推断疾病模块枢纽调控因子的新型软件,它识别出一个推定的多发性硬化症调控因子,并得到了独立 eQTL 数据的支持。

de Weerd, Hendrik A; Åkesson, Julia; Guala, Dimitri; Gustafsson, Mika; Lubovac-Pilav, Zelmina

A validated generally applicable approach using the systematic assessment of disease modules by GWAS reveals a multi-omic module strongly associated with risk factors in multiple sclerosis

利用全基因组关联研究(GWAS)对疾病模块进行系统评估,一种经过验证的通用方法揭示了一个与多发性硬化症风险因素密切相关的多组学模块。

Badam, Tejaswi V S; de Weerd, Hendrik A; Martínez-Enguita, David; Olsson, Tomas; Alfredsson, Lars; Kockum, Ingrid; Jagodic, Maja; Lubovac-Pilav, Zelmina; Gustafsson, Mika

TFTenricher: a python toolbox for annotation enrichment analysis of transcription factor target genes

TFTenricher:一个用于转录因子靶基因注释富集分析的Python工具箱

Magnusson, Rasmus; Lubovac-Pilav, Zelmina

ComHub: Community predictions of hubs in gene regulatory networks

ComHub:基因调控网络中枢纽的社区预测

Åkesson, Julia; Lubovac-Pilav, Zelmina; Magnusson, Rasmus; Gustafsson, Mika

Whole-genome sequencing and gene network modules predict gemcitabine/carboplatin-induced myelosuppression in non-small cell lung cancer patients

全基因组测序和基因网络模块可预测吉西他滨/卡铂诱导的非小细胞肺癌患者骨髓抑制

Björn, Niclas; Badam, Tejaswi Venkata Satya; Spalinskas, Rapolas; Brandén, Eva; Koyi, Hirsh; Lewensohn, Rolf; De Petris, Luigi; Lubovac-Pilav, Zelmina; Sahlén, Pelin; Lundeberg, Joakim; Gustafsson, Mika; Gréen, Henrik