Results 81 to 90 of about 3,096,343 (252)

Are Random Drift and Natural Selection Conceptually Distinct? [PDF]

open access: yes, 2001
The latter half of the twentieth century has been marked by debates in evolutionary biology over the relative significance of natural selection and random drift: the so-called neutralist/selectionist debates.
Millstein, Roberta L.
core  

seabass-detection/seabass-detection v.01-alpha

open access: yes, 2019
<p>Example code and images for paper Using Machine Vision to Estimate Fish Length from Images using Regional Convolutional Neural Networks in journal Methods in Ecology and Evolution.</p ...
seabass-detection
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
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

CModel: An Informer-Based Model for Robust Molecular Communication Signal Detection

open access: yesSensors
Molecular communication signal detection faces numerous challenges, including complex environments, multi-source noise, and signal drift. Traditional methods rely on precise mathematical models, which are constrained by drift speed and signal-to-noise ...
Wenxin Zhao   +4 more
doaj   +1 more source

Autoregressive based Drift Detection Method

open access: yes, 2022
In the classic machine learning framework, models are trained on historical data and used to predict future values. It is assumed that the data distribution does not change over time (stationarity).
Mayaki, Mansour Zoubeirou A   +2 more
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS 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

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

open access: yesFEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens   +8 more
wiley   +1 more source

Concepts of Drift and Selection in “The Great Snail Debate” of the 1950s and Early 1960s [PDF]

open access: yes, 2007
Recently, much philosophical discussion has centered on the best way to characterize the concepts of random drift and natural selection, and, in particular, on the question of whether selection and drift can be conceptually distinguished (Beatty 1984 ...
Millstein, Roberta L.
core  

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
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

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS 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

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