Evidence map›Paper›PMID 38873023›Full record

ArticleJournal of open source software2024

SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data.

Ajit J Nirmal, Peter K Sorger

Abstract read
In one paragraph

Article in Journal of open source software, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ajit J NirmalDepartment of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0003-4139-0618
Peter K SorgerLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0002-3364-1838

Funding

Visual Analytics for Exploration and Hypothesis Generation Using Highly MultiplexedSpatial Data of Tissues and TumorsU01CA284207 · NCI · HARVARD MEDICAL SCHOOL · PI PFISTER, HANSPETER, SANTAGATA, SANDRO · 2023 to 2025
$1.4M
Integrative Prediction of Therapeutic Response in T-cell Lymphoma by Omic and Spatial ModelingR00CA256497 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI NIRMAL, AJIT JOHNSON · 2023 to 2025
$747k
NCI NIH HHS R00 CA256497NCI NIH HHS U01 CA284207
6 · The paper itself

Abstract

Multiplexed imaging data are revolutionizing our understanding of the composition and organization of tissues and tumors ("Catching up with Multiplexed Tissue Imaging," 2022). A critical aspect of such "tissue profiling" is quantifying the spatial relationships among cells at different scales from the interaction of neighboring cells to recurrent communities of cells of multiple types. This often involves statistical analysis of 10

Identifiers

PMID38873023
PMCPMC11173324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.