Results 61 to 70 of about 3,422,913 (297)
Exploiting Sequence Analysis for Accurate Light-Field Depth Estimation
Depth estimation for light field (LF) images is the cornerstone of many applications of light field cameras, such as 3D reconstruction, defects inspection, face liveness detection, and so forth.
Lei Han +3 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Fast adaptive sequence estimation over frequency selective fading channels [PDF]
RÉSUMÉ: Adaptive sequence estimation -- Combined channel and sequence estimation -- Computer ...
Haccoun, David, Forest, Serge
core +1 more source
Accurate Asymptotic estimates of Catalan's sequences
See the abstract in the attached pdf.
openaire +4 more sources
Haplotype Estimation Using Sequencing Reads [PDF]
High-throughput sequencing technologies produce short sequence reads that can contain phase information if they span two or more heterozygote genotypes. This information is not routinely used by current methods that infer haplotypes from genotype data.
Delaneau, O +4 more
openaire +3 more sources
Design and analysis strategies for robust microbiome ageing research
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
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Signal Processing Methods for Genomic Sequence Analysis [PDF]
Signal processing is the art of representing, transforming, analyzing, and manipulating signals. It deals with a wide range of signals, from speech and audio signals to images and video signals, and many others.
Yoon, Byung-Jun
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
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
Sequence-discriminative training of deep neural networks [PDF]
Sequence-discriminative training of deep neural networks (DNNs) is investigated on a 300 hour American English conversational telephone speech task. Different sequence-discriminative criteria ndash;- maximum mutual information (MMI), minimum phone error (
Ghoshal, Arnab +3 more
core

