Evidence map›Paper›PMID 32206707›Full record

ArticleScience advances2020

Distinguishing cell phenotype using cell epigenotype.

Thomas P Wytock, Adilson E Motter

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Cell reprogramming design by transfer learning of functional transcriptional networks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Thomas P WytockDepartment of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0001-5204-1064
Adilson E MotterDepartment of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0003-1794-4828

Funding

Spatio-Temporal Organization of Chromatin and Information Transfer in CancerU54CA193419 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BACKMAN, VADIM · 2015 to 2020
$10.4M
Molecular Biophysics Training Program at Northwestern UniversityT32GM008382 · NIGMS · NORTHWESTERN UNIVERSITY · PI RADHAKRISHNAN, ISHWAR · 1990 to 2020
$4.3M
NCI NIH HHS U54 CA193419NIGMS NIH HHS T32 GM008382
6 · The paper itself

Abstract

The relationship between microscopic observations and macroscopic behavior is a fundamental open question in biophysical systems. Here, we develop a unified approach that-in contrast with existing methods-predicts cell type from macromolecular data even when accounting for the scale of human tissue diversity and limitations in the available data. We achieve these benefits by applying a

Indexed as

Cell Physiological PhenomenaEpigenesis, GeneticGenotypePhenotypeAlgorithmsCellsComputational BiologyGene Expression ProfilingHumansTranscriptome

Identifiers

PMID32206707
PMCPMC7080498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.