Multimodal deep learning for biomedical data fusion: a review

SR Stahlschmidt, B Ulfenborg… - Briefings in …, 2022 - academic.oup.com
Biomedical data are becoming increasingly multimodal and thereby capture the underlying
complex relationships among biological processes. Deep learning (DL)-based data fusion …

Immunoinformatics and vaccine development: an overview

AN Oli, WO Obialor, MO Ifeanyichukwu… - ImmunoTargets and …, 2020 - Taylor & Francis
The use of vaccines have resulted in a remarkable improvement in global health. It has
saved several lives, reduced treatment costs and raised the quality of animal and human …

[HTML][HTML] Onco-multi-OMICS approach: a new frontier in cancer research

S Chakraborty, MI Hosen, M Ahmed… - BioMed research …, 2018 - hindawi.com
The acquisition of cancer hallmarks requires molecular alterations at multiple levels
including genome, epigenome, transcriptome, proteome, and metabolome. In the past …

[HTML][HTML] Application of proteomics in cancer: recent trends and approaches for biomarkers discovery

YW Kwon, HS Jo, S Bae, Y Seo, P Song, M Song… - Frontiers in …, 2021 - frontiersin.org
Proteomics has become an important field in molecular sciences, as it provides valuable
information on the identity, expression levels, and modification of proteins. For example …

β‐1, 3/1, 6‐glucans and Immunity: State of the Art and Future Directions

E De Marco Castro, PC Calder… - Molecular nutrition & …, 2021 - Wiley Online Library
The innate immune system responds in a rapid and non‐specific manner against
immunologic threats; inflammation is part of this response. This is followed by a slower but …

[HTML][HTML] Multi-omics data integration considerations and study design for biological systems and disease

S Graw, K Chappell, CL Washam, A Gies, J Bird… - Molecular omics, 2021 - pubs.rsc.org
With the advancement of next-generation sequencing and mass spectrometry, there is a
growing need for the ability to merge biological features in order to study a system as a …

[HTML][HTML] Advances and trends in omics technology development

X Dai, L Shen - Frontiers in Medicine, 2022 - frontiersin.org
The human history has witnessed the rapid development of technologies such as high-
throughput sequencing and mass spectrometry that led to the concept of 'omics' and …

An overview of machine learning and big data for drug toxicity evaluation

AH Vo, TR Van Vleet, RR Gupta… - Chemical research in …, 2019 - ACS Publications
Drug toxicity evaluation is an essential process of drug development as it is reportedly
responsible for the attrition of approximately 30% of drug candidates. The rapid increase in …

[HTML][HTML] Proteome turnover in the spotlight: approaches, applications, and perspectives

AB Ross, JD Langer, M Jovanovic - Molecular & Cellular Proteomics, 2021 - ASBMB
In all cells, proteins are continuously synthesized and degraded to maintain protein
homeostasis and modify gene expression levels in response to stimuli. Collectively, the …

MetaFS: performance assessment of biomarker discovery in metaproteomics

J Tang, M Mou, Y Wang, Y Luo… - Briefings in …, 2021 - academic.oup.com
Metaproteomics suffers from the issues of dimensionality and sparsity. Data reduction
methods can maximally identify the relevant subset of significant differential features and …