Abstract

Novel bioinformatics approaches for analysis of high-throughput biological data.

Highlights

  • With the advent of high-throughput technologies, molecular biology is experiencing a surge in both growth and scope

  • Mass spectrometry- (MS-) based experiments are widely applied in proteomics studies

  • Wong et al proposed a statistical method based on carcinogenesis relevance values (CRVs) to identify 152 and 50 significant proteins and subsequently generated novel protein-protein interaction (PPI) network markers for early and late stage bladder cancer

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Summary

Introduction

With the advent of high-throughput technologies, molecular biology is experiencing a surge in both growth and scope. Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data The main focus of this special issue is novelty: new ideas, original research findings, and practical applications that intend to answer biological questions through highthroughput technologies.

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