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Showing 1381–1410 of 1709 reference entries

BiologySequence-score significance and search space

A local alignment score is evaluated against an explicit random-sequence null and search space.

Method
BiologyLocal assembly and genotype likelihoods

HaplotypeCaller assembles candidate haplotypes in active regions and compares reads with them through PairHMM likelihoods before genotype inference.

Method
BiologySubstitution-model and partition assumptions

Phylogenetic substitution models differ in equilibrium frequencies, transition rates and among-site mixtures.

Model
BiologyBayesian phylogeny and MCMC diagnostics

Bayesian phylogenetic analysis combines an alignment likelihood with substitution, clock and tree priors and samples the posterior through MCMC.

Method
BiologyClock rate and date identifiability

Branch lengths in substitutions must be linked to calendar time by a clock model and calibrating information.

Model
BiologyAncestral polymorphism and discordant histories

Under a multispecies coalescent, gene lineages can fail to coalesce between species divergences.

Model
BiologyDiverse long-read variation: 2025 study

The 2025 study uses long-read sequencing and linear/graph analyses across 1,019 sampled humans to expand structural-variant and tandem-repeat characterization.

Empirical finding
BiologyFlux-balance feasible spaces and objectives

Flux balance imposes steady-state stoichiometric constraints and bounds on reaction rates, then selects fluxes using an objective or additional constraints.

Model
BiologyIsotope tracing and pathway-flux inference

Isotope-label distributions constrain fluxes through a specified metabolic network and atom-mapping model.

Method
BiologyDynamic-network identifiability

A model is structurally unidentifiable when distinct parameter values cannot be distinguished even with ideal observations; practical unidentifiability can remain because actual observations are limited.

Method
BiologyPerturbation effects versus molecular activity

Guide-linked single-cell perturbation screens measure transcriptomic responses in surviving sampled cells.

Method
BiologyCombinatorial perturbations and epistasis

Comparing single and joint perturbations tests interaction relative to an explicitly chosen no-interaction expectation.

Method
BiologyIdentifying feedback in signaling networks

A delayed response can be explained by feedback, slow transport, state heterogeneity or an unobserved intermediate.

Open question
BiologyCas9 cleavage: original biochemical evidence

Jinek and colleagues demonstrated RNA-programmable Cas9 double-stranded DNA cleavage in vitro and a fused guide-RNA architecture.

Empirical finding
BiologyBase-editing chemistry and repair context

Cytidine base editors couple a deaminase with DNA-targeting Cas9 machinery; UGI and nicking modifications bias processing toward desired substitutions.

Method
BiologyPrime editing and programmed repair intermediates

Prime editing combines a Cas9 nickase–reverse-transcriptase fusion with a pegRNA carrying the desired edit.

Method
BiologyEditing assays: selected products and independent phenotype

An intended amplicon edit fraction describes the assayed surviving population and locus.

Method
BiologyHuman editing: evidence and governance scope

WHO’s human-genome-editing framework distinguishes somatic, germline and heritable applications and calls for oversight, transparency and responsible governance.

Method
BiologyPatterned-minimum localization and uncertainty

MINFLUX uses spatially positioned excitation minima to infer a fluorescent emitter’s location from detected photons.

Method
BiologyMetabolic allometry and comparative controls

A fitted relation between metabolism and body mass depends on basal-state criteria, temperature, species sampling and regression treatment.

Model
BiologyCoupled heat, water and energy budgets

Mechanistic niche models combine microclimate with organismal heat, water and nutritional budgets across a life cycle.

Model
BiologyBiological replication in single-cell inference

Cells sampled from one animal or culture share experimental history.

Method
BiologyCITE-seq: paired readouts, distinct measurements

CITE-seq joins antibody-derived epitope tags with transcriptome profiling in the same sampled cell.

Method
BiologyBatch correction and biological identifiability

Integration attempts to align datasets while preserving biological differences.

Method
BiologySpatial measurements and neighborhood dependence

Spatial transcriptomics retains coordinates but its observable depends on platform: capture-based spots can mix cells, while imaging-based panels sample selected transcripts.

Method
BiologyCell-state trajectories versus observed lineage

Ordering cells along a transcriptional trajectory describes similarities among sampled states.

Method
BiologyRNA velocity and kinetic assumptions

RNA velocity uses spliced/unspliced RNA relationships to estimate a local expression-change direction under a transcription/splicing/degradation model.

Model
BiologySpatial Perturb-Seq: 2026 intact-tissue evidence

Spatial Perturb-Seq combines AAV-delivered genetic perturbation barcodes with spatial transcriptomic readouts in the studied Cas9 mouse hippocampus.

Empirical finding
BiologyRegulatory network transportability

Whether a perturbation-derived regulatory edge persists across tissue, developmental stage or environment is a separate question from detecting a response in one experiment.

Open question
BiologyConformational selection and induced fit

Conformational selection and induced fit describe competing temporal paths between conformation change and ligand binding.

Model
MethodSource checked

Dynamic-network identifiability

Biology

Research context

research method · established · As of 2026-10-10

A model is structurally unidentifiable when distinct parameter values cannot be distinguished even with ideal observations; practical unidentifiability can remain because actual observations are limited.

Key knowledge

A model is structurally unidentifiable when distinct parameter values cannot be distinguished even with ideal observations; practical unidentifiability can remain because actual observations are limited. Profile likelihood can diagnose uncertainty and guide discriminating experiments.

Conditions and scope

  • Conclusions depend on observed variables, stimulus and model structure; a low fitting residual is not evidence that each rate was identified.
Sources · 1

References

Sources retain their recorded scope. A source link alone does not establish verification of every statement.

  1. Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihoodAndreas Raue and colleaguesResearch abstractpubmed.ncbi.nlm.nih.govRead source

Evidence and review

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood: Original abstract: structural/practical distinction and confidence intervals (indexed author abstract)

2026-10-10 · Bounded author source inspection of dynamic-network identifiability, including the stated conditions; independent branch review is recorded separately.

Entry detailsPermanent link to this entry ↗
Record identity
res-bio-network-identifiability
Revision
research.1
Structured reference record
Postgraduate & research reference