Trained models supporting the article "Integrative profiling of condensation-prone RNAs during early development".

Fuente: Zenodo
Salvato in:
Dettagli Bibliografici
Autore principale: Novljan, Jona
Natura: Recurso digital
Pubblicazione: Zenodo 2025
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866902272000131072
author Novljan, Jona
author_facet Novljan, Jona
contents <p><strong>Contains the trained models associated with the article <em>“Integrative profiling of condensation-prone RNAs during early development.”</em></strong></p> <p>These models are deposited to ensure reproducibility of the work. They are not intended for standalone prediction on new data, but rather for extracting the complex sequence features that distinguish the control set from the smOOPs set of transcripts, a purpose that is not directly transferable to novel datasets. If used to estimate the similarity of new sequences to smOOPs transcripts, the <code>model_all_stages</code> should be used, with an example provided at: <a href="https://github.com/ModicLab/smOOPs_project.git" target="_new" rel="noopener">https://github.com/ModicLab/smOOPs_project.git</a>.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17076366
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Trained models supporting the article "Integrative profiling of condensation-prone RNAs during early development".
Novljan, Jona
<p><strong>Contains the trained models associated with the article <em>“Integrative profiling of condensation-prone RNAs during early development.”</em></strong></p> <p>These models are deposited to ensure reproducibility of the work. They are not intended for standalone prediction on new data, but rather for extracting the complex sequence features that distinguish the control set from the smOOPs set of transcripts, a purpose that is not directly transferable to novel datasets. If used to estimate the similarity of new sequences to smOOPs transcripts, the <code>model_all_stages</code> should be used, with an example provided at: <a href="https://github.com/ModicLab/smOOPs_project.git" target="_new" rel="noopener">https://github.com/ModicLab/smOOPs_project.git</a>.</p>
title Trained models supporting the article "Integrative profiling of condensation-prone RNAs during early development".
url https://doi.org/10.5281/zenodo.17076366