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Donor specific transcriptomic analysis of Alzheimer's disease associated hypometabolism highlights a unique donor, microglia, and ribosomal proteins

2020· dataset· en· W2997982538 on OpenAlexaff

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsMicrogliaTranscriptomeChromosomal translocationGeneRibosomal proteinBiologyRibosomal RNAGene expressionPathologyMolecular biologyGeneticsMedicineRibosomeImmunologyRNA

Abstract

fetched live from OpenAlex

Supplement data and figures from "Donor specific transcriptomic analysis of Alzheimer's disease associated hypometabolism highlights a unique donor, microglia, and ribosomal proteins"<br>Preprint:https://www.biorxiv.org/content/10.1101/2019.12.23.887364v4<br><br>Github:https://github.com/leonfrench/AD-Allen-FDG<br><br>Supplement Figure 1: Differential expression of ER translocation genes in microglia from individuals with Alzheimer’s disease. In the top row, ROC curves show the proportion of ER translocation genes (y-axis, true positive fraction) across the genes tested for differential expression in microglia. The tested genes were ranked from the most overexpressed in early-pathology compared to no-pathology (A) and overexpressed in late-pathology compared to early-pathology (B). Subpanels C and D show the corresponding distributions with a black lines marking ER translocation genes across the differential expression rankings.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0320.001

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 head0.041
GPT teacher head0.287
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations2
Published2020
Admission routes1
Has abstractyes

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