Reaching the end-game for GWAS: machine learning approaches for the prioritization of complex disease loci
Genome-wide association studies (GWAS) have revealed thousands of genetic loci that
underpin the complex biology of many human traits. However, the strength of GWAS–the …
underpin the complex biology of many human traits. However, the strength of GWAS–the …
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …
Among these associations, protein–protein interactions are particularly important due to their …
A comprehensive survey on graph reduction: Sparsification, coarsening, and condensation
Many real-world datasets can be naturally represented as graphs, spanning a wide range of
domains. However, the increasing complexity and size of graph datasets present significant …
domains. However, the increasing complexity and size of graph datasets present significant …
Net: Degree-specific graph neural networks for node and graph classification
Graph data widely exist in many high-impact applications. Inspired by the success of deep
learning in grid-structured data, graph neural network models have been proposed to learn …
learning in grid-structured data, graph neural network models have been proposed to learn …
IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis
M Kotlyar, C Pastrello, Z Ahmed, J Chee… - Nucleic acids …, 2022 - academic.oup.com
Improved bioassays have significantly increased the rate of identifying new protein-protein
interactions (PPIs), and the number of detected human PPIs has greatly exceeded early …
interactions (PPIs), and the number of detected human PPIs has greatly exceeded early …
SilencerDB: a comprehensive database of silencers
Gene regulatory elements, including promoters, enhancers, silencers, etc., control
transcriptional programs in a spatiotemporal manner. Though these elements are known to …
transcriptional programs in a spatiotemporal manner. Though these elements are known to …
DeepHistone: a deep learning approach to predicting histone modifications
Motivation Quantitative detection of histone modifications has emerged in the recent years
as a major means for understanding such biological processes as chromosome packaging …
as a major means for understanding such biological processes as chromosome packaging …
HiChIPdb: a comprehensive database of HiChIP regulatory interactions
Elucidating the role of 3D architecture of DNA in gene regulation is crucial for understanding
cell differentiation, tissue homeostasis and disease development. Among various chromatin …
cell differentiation, tissue homeostasis and disease development. Among various chromatin …
Revisiting genome-wide association studies from statistical modelling to machine learning
Over the last decade, genome-wide association studies (GWAS) have discovered thousands
of genetic variants underlying complex human diseases and agriculturally important traits …
of genetic variants underlying complex human diseases and agriculturally important traits …
Gut brain regulation using psychobiotics for improved neuropsychological illness
Deepika, AK Shukla, A Kumari… - Developmental …, 2023 - Wiley Online Library
Abstract “Psychobiotics” are a novel class of probiotics that are beneficial to the health and
functional efficiency of our brain and psychology. The main hold on command in ill …
functional efficiency of our brain and psychology. The main hold on command in ill …