Results 51 to 60 of about 311,632 (269)
Data integration in the era of omics: current and future challenges
BMC Systems Biology, 2014 To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data.
D. Gómez-Cabrero +9 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Extracellular vesicles (EVs) mediate intercellular communication in tumor immune microenvironments. However, their role in B‐cell malignancies remains poorly defined, owing to biological complexity and technical challenges in EV isolation and analysis.
Daniel Bachurski, Michael Hallek
wiley +1 more source
iScience, 2023 Summary: Despite its profound impact on biology, high-resolution in vivo microscopy largely remains low throughput because current immobilization techniques require substantial manual effort.
Yao L. Wang +4 more
doaj +1 more source
Proceedings of the National Academy of Sciences of the United States of America, 2019 Significance Machine learning methodologies can be applied readily to biological problems, but standard training and testing methods are not designed to control for evolutionary relatedness or other biological phenomena.
Jacob D. Washburn +6 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
Artificial nondirectional site-specific recombination systems
iScience, 2022 Summary: Site-specific recombination systems (SRSs) are widely used in studies on synthetic biology and related disciplines. Nondirectional SRSs can randomly trigger excision, integration, reversal, and translocation, which are effective tools to achieve
Jun-Yi Wang +9 more
doaj +1 more source
Pathway Analysis: State of the Art
Frontiers in Physiology, 2015 Pathway analysis is a set of widely used tools for research in life sciences intended to give meaning to high-throughput biological data. The methodology of these tools settles in the gathering and usage of knowledge that comprise biomolecular ...
Miguel Angel Garcia-Campos +2 more
semanticscholar +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
One Health Research in Northern Tanzania - Challenges and Progress
East African Health Research Journal, 2017 East Africa has one of the world’s fastest growing human populations—many of whom are dependent on livestock—as well as some of the world’s largest wildlife populations.
G. Ladbury +16 more
semanticscholar +2 more sources
iScience, 2022 Summary: Adrenoceptors are G protein-coupled receptors involved in a large variety of physiological processes, also under pathological conditions. This is due in large part to their ubiquitous expression in the body exerting numerous essential functions.
Anna Duran-Corbera +10 more
doaj +1 more source