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Recurrent 8q24 rearrangement in BPDCN: association with immunoblastoid cytomorphology, MYC expression, and drug response

NIAID Data Ecosystem2026-03-11 收录

肿瘤遗传学

药物反应预测

数据链接：

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE112211 数据链接链接失效反馈

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资源简介：

This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

应用场景：

创建时间：

2019-03-25

药物反应预测

精神健康机器学习

Objective: Predict response to antidepressant monotherapy using machine learning techniques, using the CO-MED and STAR*D datasets to train and cross-validate analysis of the CAN-BIND dataset. Part of

DataCite Commons2023-05-16 更新180

Multi-Gene Expression Predictors of Single Drug Responses to Adjuvant Chemotherapy in Ovarian Carcinoma: Predicting Platinum Resistance

药物反应预测

铂类耐药性生物标志物

Despite advances in radical surgery and chemotherapy delivery, ovarian cancer is the most lethal gynecologic malignancy. Standard therapy includes treatment with platinum-based combination chemotherap

Figshare2016-01-18 更新60

The association of RKIP rs17512051 polymorphism and clinical stage and tumor grade of ccRCC patients.

肿瘤遗传学

肾癌研究

*Two-sided χ2-test. †ORs were adjusted for age, sex, BMI, smoking, drinking status, diabetes and hypertensionin logistic regression model. CI: confidence interval; OR: odds ratio. The association of R

NIAID Data Ecosystem50

S05_scRNA_seq_response_prediction.xlsx

药物反应预测

单细胞RNA测序

Predicted drug response based on scRNA-seq data

DataCite Commons2021-06-01 更新150

Table_1_HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development.csv

药物反应预测

转录组生物标志物

The prediction of response to drugs before initiating therapy based on transcriptome data is a major challenge. However, identifying effective drug response label data costs time and resources. Method

NIAID Data Ecosystem50

Recurrent 8q24 rearrangement in BPDCN: association with immunoblastoid cytomorphology, MYC expression, and drug response

资源简介：

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