Publications by authors named "Nathan Manor"
Benchmark for multi-cellular segmentation of bright field microscopy images.
BMC Bioinformatics
November 2013
Background: Multi-cellular segmentation of bright field microscopy images is an essential computational step when quantifying collective migration of cells in vitro. Despite the availability of various tools and algorithms, no publicly available benchmark has been proposed for evaluation and comparison between the different alternatives.
Description: A uniform framework is presented to benchmark algorithms for multi-cellular segmentation in bright field microscopy images.
Article Synopsis
- This study investigates the relationship between gene expression and neural connectivity in the rodent brain, using data from both rat and mouse species.
- Despite using data from different species, the research reveals that approximately 73% of outgoing and 56% of incoming brain region connections can be predicted from gene expression levels with significant accuracy (0.79 for outgoing, 0.83 for incoming connectivity).
- Notably, many of the identified genes correlate with known brain disorders, such as schizophrenia and autism, and show similarities in connectivity patterns when compared to gene networks in the C. elegans model organism.