Inferring single-cell and spatial microRNA activity from transcriptomics data

The attached files contain the full results reported in the submitted paper "Inferring single-cell and spatial microRNA activity from transcriptomics data" (Nature Communications Biology, 2025) Each results file relates to a different dataset examined in this work, and is composed of one or more runs of the miTEA-HiRes package.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-03
DOI
https://doi.org/10.5281/zenodo.10720979
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inferring single-cell and spatial microRNA activity from transcriptomics data

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Single-cell and spatial transcriptomics
0.23
article

Inferring single-cell and spatial microRNA activity from transcriptomics data

article en
1 citations

Abstract

The attached files contain the full results reported in the submitted paper "Inferring single-cell and spatial microRNA activity from transcriptomics data" (Nature Communications Biology, 2025) Each results file relates to a different dataset examined in this work, and is composed of one or more runs of the miTEA-HiRes package.

Zenodo (CERN European Organization for Nuclear Research)
Brandman University (US)
Partnerships for the goals
Openalex Percentile: Top 39%
Single-cell and spatial transcriptomics
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Inferring single-cell and spatial microRNA activity from transcriptomics data · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS