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Gene based outcome prediction in pediatric T-cell acute lymphoblastic leukemia

ChEBI2012-07-06 更新2026-07-21 收录

儿科T细胞急性淋巴细胞白血病预后

基因组学预测模型

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-1205 数据链接链接失效反馈

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资源简介：

Gene based outcome prediction in pediatric T-cell acute lymphoblastic leukemia

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创建时间：

2012-07-06

带状疱疹后神经痛

基因组学预测模型

Herpes zoster (HZ) is a localized, painful cutaneous eruption that occurs upon reactivation of the herpes virus. Postherpetic neuralgia (PHN) is the most common chronic complication of HZ. In this stu

NIAID Data Ecosystem60

Predictive performance of models trained to predict the presence of Methanobacteriaceae from metagenomes.

基因组学预测模型

微生物组分类

Samples: Models trained on CV sets from all samples (n = 2203 samples in total, train = 1542 and test = 661 samples), or only the set of samples with complete metadata information for age, gender, and

NIAID Data Ecosystem50

Additional file 15 of Host DNA contents in fecal metagenomics as a biomarker for intestinal diseases and effective treatment

疾病生物标志物

基因组学预测模型

Additional file 15: Table S11. AUC of classifiers based on species/pathways profiles (SRP057027) when predicting treatment response of external dataset (PRJNA384246). Features column means which type

Figshare2020-05-12 更新50

Risk stratification of thyroid papillary cancer based on proteomics and machine learning

甲状腺癌风险分层

基因组学预测模型

Risk stratification of thyroid papillary cancer based on proteomics and machine learning

integrated proteome resources50

supplementary_table_S4.xlsx

SNP标记质量评估

基因组学预测模型

Summary statistics from a random forest classifier experiment. Each tab contains different metrics from a classifier model trained on SNP marker "pass" or "fail" QC metrics. Statistics include marker

NIAID Data Ecosystem50

Gene based outcome prediction in pediatric T-cell acute lymphoblastic leukemia

资源简介：

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