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Paper

RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions.

by Independent / Community 002e2003eb694185fdb6dad93ef61aaf837d113f

Free2AITools Nexus Index

66.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 77

P: Popularity 52

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable structural feature extraction tool has been designed. Therefore, an online toolbox, named RPINBASE which can be applied to different scopes of biological applications, is introduced in this paper. This toolbox employs efficient nested queries that enhance the speed of the requ...

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Semantic Scholar 12 Citations

Paper Information Summary
Entity Passport
Registry ID	002e2003eb694185fdb6dad93ef61aaf837d113f
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{002e2003eb694185fdb6dad93ef61aaf837d113f,
  author = {Unknown},
  title = {RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions. Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/002e2003eb694185fdb6dad93ef61aaf837d113f}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions. [Paper]. Free2AITools. https://api.semanticscholar.org/002e2003eb694185fdb6dad93ef61aaf837d113f

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 77

Popularity (P) 52

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions.: Authority (A:77), Popularity (P:52), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable structural feature extraction tool has been designed. Therefore, an online toolbox, named RPINBASE which can be applied to different scopes of biological applications, is introduced in this paper. This toolbox employs efficient nested queries that enhance the speed of the requ..."

❝ Cite Node

@article{Unknown2026RPINBASE:,
  title={RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions.},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈12CitationsSemantic Scholar

🏛️77AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

📦Data Source: semantic_scholar

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Source summary: Based on semantic_scholar metadata. Not a recommendation.

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 12

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