Results 161 to 170 of about 325,444 (301)

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Dimension reduction methods for high-dimensional datasets [PDF]

In recent years computer power has increased massively which consequently has led to an increase in the size of data. The steep increase in size has led to a vast need for more modern ways of analysing this data. Classical methods for analysing data were
Randell, Hayley
core  

Systematic background selection with BasCoD enhances contrastive dimension reduction in single cell genomics. [PDF]

Nat Commun
Park K, Sun Z, Liao R, Bresnick EH, Keleş S.   +4 more
europepmc   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Multi-population Sufficient Dimension Reduction

A novel dimension-reduction method is introduced for multi-population data. The approach conducts a joint analysis that exploits information shared across populations while accommodating population-specific effects.
Dong, Yuexiao, Zhu, Li Xing, Wen, Xuerong Meggie   +2 more
core   +1 more source

Hybrid dimension reduction and logit models for glare-induced crash severity. [PDF]

Sci Rep
Tusti AG, Starewich M, Barua S, Chowdhury TI, Polock SBB, Alnawmasi N, Das S.   +6 more
europepmc   +1 more source

C2α‐carbanion‐protonating glutamate discloses tradeoffs between substrate accommodation and reaction rate in actinobacterial 2‐hydroxyacyl‐CoA lyase

FEBS Open Bio, EarlyView.
Enzymes of the 2‐hydroxyacyl‐CoA lyase group catalyze the condensation of formyl‐CoA with aldehydes or ketones. Thus, by structural adaptation of active sites, practically any pharmaceutically and industrially important 2‐hydroxyacid could be biotechnologically synthesized. Combining crystal structure analysis, active site mutations and kinetic assays,
Michael Zahn, Barbara Seroka, Ryszard Lazny, Zenon Lotowski, Thore Rohwerder   +4 more
wiley   +1 more source

A spectral dimension reduction technique that improves pattern detection in multivariate spatial data. [PDF]

Bioinformatics
Köhler D, Kleinenkuhnen N, Rastegar K, Baar T, Nikopoulou C, Kondylis V, Milchevskaya V, Schmid M, Tessarz P, Tresch A.   +9 more
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Dimension Reduction of Images Using Neural Networks

, 1997
Dimension reduction can be seen as the transformation from a high order dimension to a low order dimension. An example is the reduction of a cube in 3D (xyz) to a square in 2D (xy), to a point in 1D (x).
Prof Dr, J. N. Kok, Dr. D. P. Huijsmans, J.A. Spierenburg   +3 more
core