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Biostatistics now part of BioXpedia’s services

29-11-2019

BioXpedia is a service laboratory, offering analyses at DNA, RNA and protein level, for patient stratification, treatment response and biomarker discovery.

An increasing need for more in-depth biostatistical knowledge has led the company to expand its services to include biostatistical service. Many of the new methods in the laboratory generate a big amount of data, which requires more biostatistical considerations than previously in the research environment.

Standard biostatistical package
BioXpedia’s biostatistical service consists of a standard package or a tailored statistical service. The standard biostatistical package comprises analyses of differential expressed targets or biomarkers, visualisation via volcano plots and boxplots that makes it straight forward to point out interesting targets, and finally a report and a detailed table of all markers, including fold-change. Almost all BioXpedia’s customers include the very useful and affordable standard statistical package in addition to the laboratory analysis.

Tailored approach
In case of a more complicated experimental design, or if there is a need for a more detailed biostatistical analysis, the statistical service may be tailored and designed specifically to each project. These analyses cover e.g. time-series experiments, several group comparisons or Gene Ontology annotations and enrichment analyses.

Advanced methods are highly relevant
With the emergence of high-throughput molecular profiling technologies and their decreasing costs, traditional medicine is moving to precision medicine to improve treatment and prognosis. The advent of large-scale complex biological data has also made it difficult to extract useful biological information.

The use of advanced statistical and machine learning methods is therefore highly relevant to obtain in-depth scientific knowledge and discover novel biomarkers. Due of this, one of the latest implementations within biostatistics is the generation of predictive models, which for example may be used to identify patient subgroups, develop biological signatures or predict the progression and outcome of a disease.

Read more about BioXpedia’s laboratory services and techniques at their website.

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