Forensic Sci Int June 2017 PMID 28329724

Accurate predictions of postmortem interval using linear regression analyses of gene meter expression data.

M Colby Hunter, Alex E Pozhitkov, Peter A Noble

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Mentions

8
Peak: 1 in Sep 2020
across 4 sources since Sep 2020

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Sep 2020 – Aug 2024

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AI synopsis

What people are saying

Discussions underscore the relevance of the research, with tweets referencing the study's use of gene groups and linear regression to improve postmortem interval predictions, describing it as a 'game changer'. The tone varies from enthusiastic support to technical curiosity, reflecting both interest and recognition of the work’s impact.

AgreementModerate agreement

Most discussions support the article's findings, highlighting its significance for forensic science.

InterestHigh interest

Posts are highly engaged, with many expressing curiosity about the methodology and implications.

EngagementModerate engagement

Several comments delve into technical details and potential applications, indicating meaningful interaction.

ImpactHigh impact

It's perceived as a breakthrough, with mentions of how this research could transform postmortem analysis and forensic accuracy.

Abstract in brief

  • The study aims to improve postmortem interval predictions by analyzing gene expression in zebrafish and mice, showing that groups of gene transcripts, rather than individual genes, can accurately estimate the time since death.
  • Researchers used linear regression analyses on gene expression data, splitting data into training and testing sets multiple times, and found that specific groups of genes achieved near-perfect prediction accuracy with R values close to 1.
  • This approach demonstrates a promising method for forensic investigations, as it provides a precise way to determine postmortem interval based on gene activity, which is more reliable than traditional indicators.]

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@psychopathcook · X

Accurate Predictions of Postmortem Interval Using Linear Regression Analyses of Gene Meter Expression Data https://t.co/8ccdThAW01

Oct 9, 2021 · 1 like · 330 followers View post →
Josh B.J. Ono
@joshbjono2 · X

Accurate Predictions of Postmortem Interval Using Linear Regression Analyses of Gene Meter Expression Data https://t.co/XTh3CtXVqR

Sep 4, 2020 · 702 followers View post →

All mentions

コックカワサキ
@psychopathcook · X

Accurate Predictions of Postmortem Interval Using Linear Regression Analyses of Gene Meter Expression Data https://t.co/8ccdThAW01

Oct 9, 2021 · 1 like · 330 followers View post →
Josh B.J. Ono
@joshbjono2 · X

Accurate Predictions of Postmortem Interval Using Linear Regression Analyses of Gene Meter Expression Data https://t.co/XTh3CtXVqR

Sep 4, 2020 · 702 followers View post →