A guide for the diagnosis of rare and undiagnosed disease: beyond the exome

S Marwaha, JW Knowles, EA Ashley - Genome medicine, 2022 - Springer
Rare diseases affect 30 million people in the USA and more than 300–400 million
worldwide, often causing chronic illness, disability, and premature death. Traditional …

Computational principles and challenges in single-cell data integration

R Argelaguet, ASE Cuomo, O Stegle… - Nature biotechnology, 2021 - nature.com
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …

MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data

Y Lu, G Zhou, J Ewald, Z Pang, T Shiri… - Nucleic Acids …, 2023 - academic.oup.com
Microbiome studies have become routine in biomedical, agricultural and environmental
sciences with diverse aims, including diversity profiling, functional characterization, and …

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

T Wang, W Shao, Z Huang, H Tang, J Zhang… - Nature …, 2021 - nature.com
To fully utilize the advances in omics technologies and achieve a more comprehensive
understanding of human diseases, novel computational methods are required for integrative …

State of the field in multi-omics research: from computational needs to data mining and sharing

M Krassowski, V Das, SK Sahu, BB Misra - Frontiers in Genetics, 2020 - frontiersin.org
Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine
two or more omics data sets to aid in data analysis, visualization and interpretation to …

Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

Guidelines for the use of flow cytometry and cell sorting in immunological studies

A Cossarizza, HD Chang, A Radbruch… - European journal of …, 2019 - Wiley Online Library
These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …

Machine learning for multi-omics data integration in cancer

Z Cai, RC Poulos, J Liu, Q Zhong - Iscience, 2022 - cell.com
Multi-omics data analysis is an important aspect of cancer molecular biology studies and
has led to ground-breaking discoveries. Many efforts have been made to develop machine …

Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome …

V Meslier, M Laiola, F De Filippis, H Roume… - Gut, 2020 - gut.bmj.com
Objectives This study aimed to explore the effects of an isocaloric Mediterranean diet (MD)
intervention on metabolic health, gut microbiome and systemic metabolome in subjects with …

[HTML][HTML] Network analysis methods for studying microbial communities: A mini review

MS Matchado, M Lauber, S Reitmeier… - Computational and …, 2021 - Elsevier
Microorganisms including bacteria, fungi, viruses, protists and archaea live as communities
in complex and contiguous environments. They engage in numerous inter-and intra …