GripDL

GripDL is software for inferring gene regulatory networks (GRNs) by leveraging spatial gene expression patterns from microscopy images and known transcription factor (TF)-gene interactions. It employs deep learning techniques to overcome the limitations of traditional GRN inference methods, which rely on gene co-expression analysis or noisy high-throughput TF-target binding data.

Key features of GripDL:

1. Incorporates high-confidence TF-gene regulation knowledge from previous studies to guide the GRN inference process.

2. Utilizes Drosophila embryonic gene expression images to capture spatial and temporal expression patterns containing rich information about gene interactions.

3. Employs deep neural networks to learn powerful representations of gene expression patterns, enabling more accurate identification of local-pattern consistencies that indicate gene-gene interactions.