Services/Data and ML

Data and ML Services

Patterns in complexity. We apply advanced statistical methods and machine learning algorithms to interpret your data and predict biological outcomes.

What We Offer

Advanced Analytics Capabilities

From basic statistics to sophisticated machine learning models.

01

Statistical Analysis

Rigorous statistical methods including hypothesis testing, regression, and multivariate analysis.

02

Differential Expression

Identify genes or proteins that are significantly up or down-regulated between conditions.

03

Machine Learning

Classification, clustering, and predictive models using state-of-the-art algorithms.

04

Dimensionality Reduction

PCA, t-SNE, UMAP, and other techniques to visualise high-dimensional data.

05

Clustering Analysis

Group samples or features based on similarity using hierarchical and k-means clustering.

06

Biomarker Discovery

Identify potential biomarkers for disease diagnosis, prognosis, or treatment response.

Data Types

We Analyse All Omics Data

Our team has deep experience with diverse biological data types, from traditional microarrays to cutting-edge single-cell technologies.

RNA-Seq

Transcriptome analysis

Proteomics

Protein expression data

Metabolomics

Metabolite profiles

Microarray

Gene expression arrays

Single-cell

scRNA-seq analysis

Multi-omics

Integrated analysis

Tools & Technologies

Powered by Best-in-Class Tools

R/BioconductorPython/scikit-learnDESeq2edgeRlimmaTensorFlowXGBoostRandom ForestWGCNASeurat

Let Us Analyse Your Data

Whether you need differential expression analysis, machine learning models, or custom statistical pipelines, we can help.