Search Results for author:
Found 9 papers, 0 papers with code
Inferring interaction networks from transcriptomic data: methods and applications
Transcriptomic data is a treasure-trove in modern molecular biology, as it offers a comprehensive viewpoint into the intricate nuances of gene expression dynamics underlying biological systems.
Higher order organizational features can distinguish protein interaction networks of disease classes: a case study of neoplasms and neurological diseases
56 non-redundant OUPs (nrOUPs) were derived and used as network features for classification between these two disease classes.
Emergent dynamics in an astrocyte-neuronal network coupled via nitric oxide
The "glissandi" effect is one such phenomenon, associated with a decrease in infraslow fluctuations, in which synchronized calcium oscillations propagate as a wave in hundreds of astrocytes.
DeepAutoPIN: An automorphism orbits based deep neural network for characterizing the organizational diversity of protein interactomes across the tree of life
Integrating the information related to protein families, domains, subcellular location, gene ontology, and pathways, our results indicate that wiring patterns of PINs in different phyla are not randomly generated rather they are shaped by evolutionary constraints imposed on them.
Neuromodulators in food ingredients: insights from network pharmacological evaluation of Ayurvedic herbs
The global burden of neurological diseases, the second leading cause of death after heart dis-eases constitutes one of the major challenges of modern medicine.
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution
In this work, we propose an approach to divide the problem of image super-resolution into multiple sub-problems and then solve/conquer them with the help of a neural network.
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
This paper describes our system participation in the SemEval-2017 Task 8 {`}RumourEval: Determining rumour veracity and support for rumours{'}.
