Development of a graph-theoretic approach to predict protein function by integrating large scale heterogeneous data
Project: Research
- Paccanaro, Alberto (PI)
- Bogre, Laszlo (CoI)
| Status | Finished |
|---|---|
| Effective start/end date | 1/06/08 → 31/05/11 |
Funding
Biotechnology&BioSci Research BBSRC: £421,635
Research outputs
A network medicine approach to quantify distance between hereditary disease modules on the interactome
Research output: Contribution to journal › Article › peer-review
mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome
Research output: Contribution to journal › Article › peer-review
Disease gene prediction for molecularly uncharacterized diseases
Research output: Contribution to journal › Article › peer-review
The Corrected Gene Proximity map for analyzing the 3D genome organization using Hi-C data
Research output: Contribution to journal › Article › peer-review
Protein Function Prediction for newly sequenced organisms
Research output: Contribution to journal › Article › peer-review
Machine learning and network medicine approaches for drug repositioning for COVID-19
Research output: Contribution to journal › Article › peer-review
ID: 21685841