官方服务：
资源简介：
Average size of tumor prediction.
应用场景：
创建时间：
2015-12-03
相关数据集
Biomarker Benchmark - Gene expression data from Gene Expression Omnibus - GSE5460
"Predictors built from gene expression data accurately predict ER, PR, and HER2 status, and divide tumor grade into high-grade and low-grade clusters; intermediate-grade tumors are not a unique group.
DataCite Commons2020-09-04 更新120
Prognostic classifier to identify intermediate and high-risk clear-cell renal cell carcinoma patients at higher risk for tumor progression
Background. Current clinicopathological factors are not accurate enough to predict tumor progression in intermediate/high-risk clear cell renal cell carcinoma (ccRCC). Objective: To develop a prognost
NIAID Data Ecosystem50
A random sample of SCC tumors from our TMAs were selected to calculate tumor staging using our linear regression model when considering only p39 score.
The tables show the score for phospho-Rb S249, p39, E-cadherin and the patient´s tumor stage (first fourth columns, respectively). The fifth column shows the stage predicted by our linear regression a
Figshare2018-11-19 更新30
Anaplastic Astrocytoma prediction analysis summary.
All 18 total Markov genes were used in the analysis, except in linear stepwise regression, which used only 11 significant predictor genes in the analysis.
NIAID Data Ecosystem70
Transcriptional Biomarkers to Predict Female Mouse Liver Tumors in Rodent Cancer Bioassays - A 26 Chemical Set. Mus musculus
Two-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assess
NIAID Data Ecosystem40
