Integration of Single-Cell Data

At CD ComputaBio, we specialize in leveraging the power of cutting-edge artificial intelligence (AI) to integrate and analyze single-cell data, unraveling complex biological insights and accelerating discoveries in the field of life sciences. Our state-of-the-art services open avenues for understanding cellular heterogeneity, identifying novel biomarkers, and elucidating critical pathways, ultimately propelling research and development in healthcare, biotechnology, and pharmaceuticals.

AI-Aided Integration of Single-Cell Data

The advent of single-cell technologies has revolutionized our understanding of cellular diversity and functional states. However, harnessing the full potential of single-cell data necessitates sophisticated computational approaches to integrate, analyze, and derive meaningful interpretations. Employing advanced AI algorithms, our team at CD ComputaBio brings forth a comprehensive suite of services tailored to meet the unique demands of single-cell data integration.

Our Services

  • Data Preprocessing and Quality Control
  • Dimensionality Reduction and Clustering
  • Differential Gene Expression Analysis
  • Trajectory Analysis and Cell Fate Mapping
  • Integration of Multi-Modal Single-Cell Data
  • Predictive Modeling and Biomarker Discovery

Fig 1: Integration of single-cell data

Our Analysis Methods

Fig 2: Integration of single-cell data

We harness the potential of unsupervised learning algorithms such as k-means clustering, hierarchical clustering, and Gaussian mixture models, allowing for the discovery of inherent structures and patterns within single-cell data without the need for prior annotations.

Fig 3: Integration of single-cell data

Utilizing graph-based algorithms, including diffusion maps, spectral clustering, and graph neural networks (GNNs), we dissect complex cellular interactions, reconstructing cellular landscapes, and identifying key drivers governing cellular heterogeneity and function.

Fig 4: Integration of single-cell data

By leveraging transfer learning and domain adaptation techniques, we facilitate the translation of knowledge from well-annotated datasets to less characterized single-cell data, enhancing the robustness and interpretability of the analyses performed.

Our Capabilities

We are committed to continuous innovation and collaboration, actively engaging with the latest advancements in AI, single-cell technologies, and computational methodologies to deliver cutting-edge solutions that drive transformative discoveries in the life sciences domain. We prioritize data security and privacy, implementing stringent measures to safeguard the confidentiality and integrity of the valuable single-cell datasets entrusted to us, ensuring compliance with industry standards and regulations. If you are interested in our services or have any questions, please feel free to contact us.


  • Sreenivasan V K A, Balachandran S, Spielmann M. The role of single-cell genomics in human genetics[J]. Journal of medical genetics, 2022, 59(9): 827-839.


Online Inquiry

CD ComputaBio

Copyright © 2024 CD ComputaBio Inc. All Rights Reserved.