We have included human samples including bladder tissue, Cervical tissue, Colorectal tissue, diffuse large B-cell lymphoma, Gastric tissue, glioblastoma multiforme, K562 cell, thyroid tissue, Plasma,

国家人口健康科学数据中心10

The performance of BioSeq-Diabolo compared with competing methods for circRNA-disease association identification.

circRNA-疾病关联

生物信息学算法

The performance of BioSeq-Diabolo compared with competing methods for circRNA-disease association identification.

Figshare2023-06-20 更新00

Contains coordinates of all identified regions and fold-change values in a table format.

差异基因表达分析

生物标志物发现

Contains coordinates of all identified regions and fold-change values in a table format.

NIAID Data Ecosystem30

DataSheet1_RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases.DOCX

生物标志物发现

T细胞分化时间序列分析

Profiling of mRNA expression is an important method to identify biomarkers but complicated by limited correlations between mRNA expression and protein abundance. We hypothesised that these correlation

NIAID Data Ecosystem10

Names of 533 circRNAs involved in known circRNA-disease associations obtained from circR2Disease database.

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