HIVE provides secure solutions for authorized users to compute real-world datasets and personalized biomedical data. HIVE contains dozens of existing proprietary and open-source algorithms and over 100 pipelines addressing a variety of challenges with software solutions as follows:
- Cancer -omics analytics
- Classical and evolutionary bioinformatics tools
- AI/ML/Algebraic methodologies
- Supervised and unsupervised clusterization and classification utilities
- Classical and Bayesian statistics
- Image recognition and annotation
- Large Language Models and Natural language processing
Using the HIVE platform, we offer software integration, deployment, and custom bioinformatics development in different programming languages C/C++, Python, Perl, JavaScript, R.
Here are the analytical services we offer:
- Bioinformatics analyses for personalized genomic datasets, cancer and pathology biomarker discovery, gene expression, mutation and copy number variation discovery, target identification, and optimization.
- Preclinical, clinical, and post-market analytics for cell and gene therapy products, as well as oncology products.
- Study-specific analyses using advanced methods of distributed and federated computing, including a meta-analysis of survival curves, robust semi-parametric estimation, and Bayesian hierarchical models that can be incorporated from other sources as priors.
- Advanced clinical research analytical guidance for addressing confounding within real-world big data sources, including the use of propensity scores, inverse probability weighting, classification trees, and many other methods.
- Conducting big data linkages, including linkages between registries and routinely available data sources (e.g., claims and administrative data), which is an efficient way to obtain long-term outcomes for many therapeutics.
