Search
Search Results
-
A comparison of the TempO-Seq and Affymetrix microarray platform using RTqPCR validation
Next-generation risk assessment relies on mechanistic data from new approach methods, including transcriptome data. Various technologies, such as...
-
Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. Historically, most available RNA...
-
Feature-specific quantile normalization and feature-specific mean–variance normalization deliver robust bi-directional classification and feature selection performance between microarray and RNAseq data
BackgroundCross-platform normalization seeks to minimize technological bias between microarray and RNAseq whole-transcriptome data. Incorporating...
-
MicroRNA Expression Profiling Using Agilent One-Color Microarray
MicroRNA (miRNA) expression profiling is an important tool to identify miRNA regulation in physiological or pathological states. This technique has a...
-
Microarray Data Analysis Protocol
Microarrays are broadly used in the omic investigation and have several areas of applications in biology and medicine, providing a significant amount...
-
DNA Microarray
Microarray is a hybridization-based technique where a greater number of genes can be studied at a time. Each microchamber will be allotted to...
-
Web and Cloud Computing to Analyze Microarray Data
Microarray technology is a high-throughput technique that can simultaneously measure hundreds of thousands of genes’ expression levels. Web and cloud...
-
Microarray data analysis of antileukemic action of Cinnamoylated benzaldehyde LQB-461 in Jurkat cell line
BackgroundLeukemias stand out for being the main type of childhood cancer in the world. Current treatments have strong side effects for patients, and...
-
Microarray Data Preprocessing: From Experimental Design to Differential Analysis
DNA microarray data preprocessing is of utmost importance in the analytical path starting from the experimental design and leading to a reliable...
-
IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay
Peptide microarrays are a powerful tool to identify linear epitopes of food allergens in a high-throughput manner. The main advantages of the...
-
Algorithms to Preprocess Microarray Image Data
Microarray is a powerful technology that enables the monitoring of expression levels for thousands of genes simultaneously, providing scientists with...
-
High-Performance Framework to Analyze Microarray Data
Pharmacogenomics is an important research field that studies the impact of genetic variation of patients on drug responses, looking for correlations...
-
Integration of DNA Microarray with Clinical and Genomic Data
DNA microarrays have been widely employed to understand cancer development. This technology is able to measure expression levels of a large numbers...
-
Immunoblot Analysis from Single Cells Using Milo™ Single-Cell Western Platform
In this new era of precision medicine, characterization of single-cell subpopulations to better understand disease etiology is paramount. It is thus...
-
Clustering Methods for Microarray Data Sets
Microarrays are experimental methods that can provide information about gene expression and SNP data that hold great potential for new understanding,...
-
Supervised Methods for Biomarker Detection from Microarray Experiments
Biomarkers are valuable indicators of the state of a biological system. Microarray technology has been extensively used to identify biomarkers and...
-
Pathway Enrichment Analysis of Microarray Data
Microarray analyses usually result in a list of differential genes that need to be annotated to link them the phenotype being studied, help planning...
-
General Strategies for Glycan Microarray Data Processing and Analysis
Glycan microarrays provide a high-throughputHigh-throughput technology for rapidly profilingProfiling interactions between carbohydrates and...
-
A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach
Microarray technology is fully established among the research fields in genetic domain. Academia and industrial researchers investigate and analyze...
-
A platform-independent AI tumor lineage and site (ATLAS) classifier
Histopathologic diagnosis and classification of cancer plays a critical role in guiding treatment. Advances in next-generation sequencing have...
