Comprehensive analysis of multiple parameters associated with ...

The ARID1A gene mutation was correlated with higher tumor immunogenicity and activated antitumor immune microenvironment, resulting in superior cohort that ...

An Introduction to Multivariate Analysis [With Examples]

In exploring multiple variables, you're painting a much more detailed picture of what's occurring—and, as a result, the insights you uncover ...

Comprehensive analysis of multiple cytokines and blood parameters ...

Rheumatoid arthritis (RA) is a systemic immune-related disease caused by the interaction of genetic and environmental factors, characterized by synovitis, ...

Multiple regression analysis of a comprehensive transcriptomic data ...

Briefly, the Gene Ontology: Biological Processes gene sets are expert-curated collections of genes known to be associated with particular ...

Multiple-Group Analysis in Structural Equation Modeling

Differences in means, regressions, loadings, variances, and covariances of variables can be investigated using MGA, as all these parameters can ...

Understanding MANOVA - Statistics Solutions

It integrates these variables into a single, composite variable through a weighted linear combination, allowing for a comprehensive analysis of how these ...

Comprehensive analysis of cancer-associated somatic mutations in ...

We describe a computational pipeline that enables accurate inference of germline alleles of class I HLA-A, -B and -C genes and subsequent detection of ...

Understanding Multi-Parameter Flow Cytometry

Gating and compensation ensure accurate spectral analysis in complex biological systems. 2. Components of Flow Cytometers: The fluidics system guides cells, ...

Meta-Analysis with Multiple Outcomes - YouTube

Reporting data on studies that report data for multiple outcomes or time-points. This is fundamentally different from the case of ...

Comprehensive analysis of multiple classifiers for enhanced river ...

The objective of this study is to evaluate multiple machine learning algorithms to analyze water quality parameters in computing water quality index (WQI) and ...

Understanding Correspondence Analysis: A Comprehensive Guide ...

Multiple correspondence analysis is a technique for analyzing categorical variables and is based on a hypercube, which shows the frequency of each combination ...

Comprehensive analysis of alternative splicing across multiple ...

Subsequently, we sought to pinpoint a robust set of prognostic events and define a minimal event-based signature associated with biochemical ...

A comprehensive analysis of the parameters in the creation and ...

For many natural language processing prob- lems, including noun compound interpreta- tion (Dobó and Pulman, 2011), it is crucial to determine the semantic ...

How to filter multiple datasets using a single filter originating from a ...

I have four different datasets in Analysis, each containing an “account” column that needs to be filtered by a single filter originating ...

Comprehensive analysis of normal adjacent to tumor transcriptomes

... associated with a wide variety of cellular stimuli and known to be ... Table 2 Differential expression analysis of tumors vs. healthy ...

Global Sensitivity Analysis for Multiple Interpretive Models With ...

Our results indicate that a given parameter can be associated with diverse degrees of importance, depending on the considered statistical moment ...

Comprehensive Analysis of Large-Scale Transcriptomes from ...

(H) Enriched gene ontology terms of subtype-associated features shared by at least three cancer types. (I) Subtype-associated features (many mitochondria genes) ...

Systematic multi-parameter sensitivity analysis (MPSA). Parameter...

Download scientific diagram | Systematic multi-parameter sensitivity analysis (MPSA). Parameter sensitivity was evaluated by running simulations using 5 ...

Optimal parameter estimation for a classifier with multiple parameters

Optimal parameter: Maximal difference of TPR and FPR with a cost component (I believe it is called the J-statistic?) · Overall performance: Area ...

Comprehensive analysis of omics data identifies relevant gene ...

We performed a multi-step analysis to identify and characterize modules of co-expressed genes associated with ADHD using data from peripheral blood mononuclear ...