Results 51 to 60 of about 50,718 (252)
Environmental ChallengesGroundwater contamination from legacy industrial activities poses serious environmental and public health risks, particularly in Indigenous communities reliant on untreated groundwater sources.
Heinz Breda Toso Sfalsini +9 more
doaj +1 more source
A flexible framework for sparse simultaneous component based data integration
BMC Bioinformatics, 2011 1 Background High throughput data are complex and methods that reveal structure underlying the data are most useful. Principal component analysis, frequently implemented as a singular value decomposition, is a popular technique in this respect.
Van Deun Katrijn +4 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Multilevel sparse functional principal component analysis
Stat, 2014 We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis was proposed recently for such data when functions are ...
Di, Chongzhi +2 more
openaire +5 more sources
SpaSM: A MATLAB Toolbox for Sparse Statistical Modeling
Journal of Statistical Software, 2018 Applications in biotechnology such as gene expression analysis and image processing have led to a tremendous development of statistical methods with emphasis on reliable solutions to severely underdetermined systems.
Karl Sjöstrand +4 more
doaj +1 more source
Frontiers in Genetics, 2020 The task of predicting protein–protein interactions (PPIs) has been essential in the context of understanding biological processes. This paper proposes a novel computational model namely FCTP-WSRC to predict PPIs effectively.
Meng Kong +6 more
doaj +1 more source
FEBS Letters, EarlyView.Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source
Sparse Principal Components Analysis
, 2009 This manuscript was written in late 2003; a much revised version is to appear, with discussion and later references, in the Journal of the American Statistical Association in 2009.
Lu, Arthur, Johnstone, Iain
openaire +2 more sources
Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy
Molecular Oncology, EarlyView.We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen +19 more
wiley +1 more source