Identification of Predictive Gene Markers for Multipotent Stromal Cell Proliferation [RT-PCR]

ChEBI2016-07-01 更新2026-07-12 收录

干细胞增殖预测

基因标记识别

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-74203 数据链接链接失效反馈

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资源简介：

Identification of Predictive Gene Markers for Multipotent Stromal Cell Proliferation [RT-PCR]

创建时间：

2016-07-01

Table1_Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.xlsx

癌症转移预测

基因标记识别

Bone is the most common site of distant metastasis from malignant tumors, with the highest prevalence observed in breast and prostate cancers. Such bone metastases (BM) cause many painful skeletal-rel

NIAID Data Ecosystem140

Gene expression profiling study to identify key markers associated with disease recurrence in colorectal cancers.

结直肠癌复发预测

基因标记识别

The objective of this study is to identify a gene set to predict recurrence of colorectal cancer (CRC) patients. We generated RNA-seq data of 110 primary CRC samples and identified significant genes a

NIAID Data Ecosystem50

Development of a prognostic index for predicting disease progression in non-muscle invasive bladder cancer. Development of a prognostic index for predicting disease progression in non-muscle invasive bladder cancer

膀胱癌预后

基因标记识别

Although recent advances in high-throughput technology and data-driven approach have provided many insights into non-muscle invasive bladder cancer (NMIBC), previous studies are still limited in their

NIAID Data Ecosystem20

Leaf transcriptome sequencing of several barley accessions. Hordeum vulgare subsp. vulgare

植物抗病性研究

基因标记识别

RNAseq was performed on several barley accessions that vary for their reaction to wheat stripe rust (Puccinia striiformis f. sp. tritici) to identify markers and understand the gene content at the Rps

NIAID Data Ecosystem50

Associations of IL23R gene markers in CD and UC case-control association studies.

炎症性肠病遗传关联

基因标记识别

Minor allele frequencies (MAF), allelic test P-values, and odds ratios (OR, shown for the minor allele) with 95% confidence intervals (CI) are depicted for both the CD and UC case-control cohorts.

NIAID Data Ecosystem30

Identification of Predictive Gene Markers for Multipotent Stromal Cell Proliferation [RT-PCR]

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