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Record W2626660250

Variability in Gene Expression

2008· dissertation· en· W2626660250 on OpenAlexvenueno aff
Vandit Sardana

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2008
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsnot available
Fundersnot available
KeywordsGene expressionComputational biologyBiologyGeneticsExpression (computer science)GeneComputer scienceProgramming language
DOInot available

Abstract

fetched live from OpenAlex

The variability in protein number was studied. The reporter protein Enhanced Green Fluorescent Protein (EGFP) in various strains of Escherichia coli with regulated and unregulated plasmid copy number systems were investigated. The relaxation of perturbed population was studied in two different systems and cell division was observed to drive the relaxation of perturbed populations. It was found that an unregulated system has more inclusion bodies in comparison to regulated one. This accounted for the difference in correlation between cell size and protein number in two different systems. Flow cytometry was cross-validated with fluorescence microscopy and it was concluded that the Forward Scatter signal in a flow cytometer is representative of size in terms of generating size distributions. A new method for determining cell viability was devised, reducing the analysis time to less than five minutes. The unregulated system in comparison to the regulated one tends to have higher percentage of dead cells.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.002
GPT teacher head0.146
Teacher spread0.144 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicBacterial Genetics and BiotechnologyFrench-language works237,207