Mapping the multiscale structure of biological systems

LV Schaffer, T Ideker - Cell systems, 2021 - cell.com
Biological systems are by nature multiscale, consisting of subsystems that factor into
progressively smaller units in a deeply hierarchical structure. At any level of the hierarchy …

Interpretation of cancer mutations using a multiscale map of protein systems

F Zheng, MR Kelly, DJ Ramms, ML Heintschel, K Tao… - Science, 2021 - science.org
INTRODUCTION Tumor genome sequencing has revealed that, beyond a few commonly
mutated genes, most mutations that affect cancer genomes are rare. To interpret these rare …

Deep distributed computing to reconstruct extremely large lineage trees

N Konno, Y Kijima, K Watano, S Ishiguro, K Ono… - Nature …, 2022 - nature.com
Phylogeny estimation (the reconstruction of evolutionary trees) has recently been applied to
CRISPR-based cell lineage tracing, allowing the developmental history of an individual …

Multiscale community detection in Cytoscape

A Singhal, S Cao, C Churas, D Pratt… - PLoS computational …, 2020 - journals.plos.org
Detection of community structure has become a fundamental step in the analysis of
biological networks with application to protein function annotation, disease gene prediction …

A convergent molecular network underlying autism and congenital heart disease

SB Rosenthal, HR Willsey, Y Xu, Y Mei, J Dea, S Wang… - Cell systems, 2021 - cell.com
Patients with neurodevelopmental disorders, including autism, have an elevated incidence
of congenital heart disease, but the extent to which these conditions share molecular …

HiDeF: identifying persistent structures in multiscale 'omics data

F Zheng, S Zhang, C Churas, D Pratt, I Bahar, T Ideker - Genome biology, 2021 - Springer
In any 'omics study, the scale of analysis can dramatically affect the outcome. For instance,
when clustering single-cell transcriptomes, is the analysis tuned to discover broad or specific …

Survey of various statistical numerical and machine learning ontological models on infectious disease ontology

Y Natarajan, S Kannan… - Data Analytics in …, 2021 - Wiley Online Library
In this chapter, we present a survey on various decision support methods that uses ontology
as its tool to provide the reasoning, medical knowledge list, attributes and relationship …

The prediction of mid-winter and spring breakups of ice cover on Canadian rivers using a hybrid ontology-based and machine learning model

M De Coste, Z Li, R Khedri - Environmental Modelling & Software, 2023 - Elsevier
Mid-winter breakups (MWBs) are an increasingly common event on Canadian rivers
resulting in the early breakup of river ice cover, with complex and numerous drivers. This …

PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

HL Her, PT Lin, YW Wu - BMC bioinformatics, 2021 - Springer
Background Discerning genes crucial to antimicrobial resistance (AMR) mechanisms is
becoming more and more important to accurately and swiftly identify AMR pathogenic …

Mechanistic integration of exposure and effects: advances to apply systems toxicology in support of regulatory decision-making

AM Jarabek, DE Hines - Current Opinion in Toxicology, 2019 - Elsevier
Modernizing risk assessment methods that underlie risk management decisions developed
to protect public and environmental health will require interdisciplinary dialog and …