Amanote Research

Amanote Research

    RegisterSign In

Predicting Treatment Response Based on RNA Expression in Large Datasets

Clinical Cancer Research - United States
doi 10.1158/1078-0432.ccr-18-2823
Full Text
Open PDF
Abstract

Available in full text

Categories
Cancer ResearchOncology
Date

November 16, 2018

Authors
Aaron S. MansfieldJin Jen
Publisher

American Association for Cancer Research (AACR)


Related search

Expression Differentiation Is Not Helpful in Identifying Prognostic Genes Based on TCGA Datasets

Molecular Therapy - Nucleic Acids
Drug DiscoveryMolecular Medicine
2018English

Tight Clustering for Large Datasets With an Application to Gene Expression Data

Scientific Reports
Multidisciplinary
2019English

A Disk-Based Algorithm for Fast Outlier Detection in Large Datasets

English

Core for Large Datasets: Rough Sets on FPGA

Fundamenta Informaticae
Information SystemsAlgebraNumber TheoryMathematicsComputational TheoryTheoretical Computer Science
2016English

Predicting Response to Incretin-Based Therapy

Research and Reports in Endocrine Disorders
2011English

A Grid-Based Distributed Database Solution for Large Astronomy Datasets

2008English

Grape-Rna: A Database for the Collection, Evaluation, Treatment, and Data Sharing of Grape RNA-Seq Datasets

Genes
Genetics
2020English

Microtubule-Associated Protein Expression and Predicting Taxane Response

2009English

Editorial: Predicting Response to Treatment in Children With Crohn's Disease

Alimentary Pharmacology and Therapeutics
HepatologyPharmacologyGastroenterology
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy