RPF statistics

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Citations per year

Number of citations per year for the bioinformatics software tool RPF
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Tool usage distribution map

This map represents all the scientific publications referring to RPF per scientific context
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Associated diseases

This word cloud represents RPF usage per disease context
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Protocols

RPF specifications

Information


Unique identifier OMICS_19958
Name RPF
Alternative name Recall Precision F-measure
Interface Web user interface
Restrictions to use None
Input data The atomic coordinate files, chemical shift data and NOESY peak lists.
Input format PDB, BMRB, Sparky, Xeasy
Computer skills Basic
Stability Stable
Maintained Yes

Maintainers


  • person_outline Gaetano Montelione
  • person_outline RPF Team

Publications for Recall Precision F-measure

RPF citations

 (28)
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Solution NMR structure of the TRIM21 B box2 and identification of residues involved in its interaction with the RING domain

2017
PLoS One
PMCID: 5533445
PMID: 28753623
DOI: 10.1371/journal.pone.0181551

[…] [], including global quality factor from Verify 3D, ProsaII, PROCHECK [] and MolProbity []. The global goodness-of-fit of the final structure ensemble of the NOESY peak list data was calculated using RPF analysis []. […]

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Characterization of a Basidiomycota hydrophobin reveals the structural basis for a high similarity Class I subdivision

2017
Sci Rep
PMCID: 5385502
PMID: 28393921
DOI: 10.1038/srep45863

[…] tural ensemble of SC16 consists of the 20 lowest energy structures out of 200. These structures were refined in water by CNS 1.21. The quality of the final ensemble of structures was assessed through RPF analysis, PROCHECK and the PSVS suite. The PyMOL Molecular Graphics System (Version 1.7.1 Schrödinger, LLC) was used for visualization, distance measurements, and figure generation. Chemical shift […]

library_books

Wearable Sensor Based Human Activity Recognition Method with Multi Features Extracted from Hilbert Huang Transform

2016
PMCID: 5191029
PMID: 27918414
DOI: 10.3390/s16122048

[…] r improve the performance. Finally, we test the effect of multi-features combination in the scenario of an independent subject. The experimental results show that we achieve four performance indexes: recall, precision, F-measure, and accuracy to 0.9337, 0.9417, 0.9353, and 0.9377 respectively, which are all better than related works tested on the same dataset.The rest of this paper is structured a […]

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Moving Object Detection Using Scanning Camera on a High Precision Intelligent Holder

2016
PMCID: 5087542
PMID: 27775671
DOI: 10.3390/s16101758

[…] To assess the detection results objectively, four indexes (i.e., Recall, Precision, F-measure and Similarity) are put to use by us to evaluate the performance of these techniques at the pixel level. Among these four, TP is the number of true positives, TN represent […]

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Prediction of protein–protein interaction sites by means of ensemble learning and weighted feature descriptor

2016
PMCID: 4943499
PMID: 27437195
DOI: 10.1186/s40709-016-0046-7

[…] In this study, we compared EL-WFD to J48 algorithm and RF using the same set. The results are shown in Table . The overall performance (Accuracy, Recall, Precision, F-measure and MCC) of our method were 93.11, 83.83, 96.3, 89.63 % and 0.8497 on the Hetero dataset. The success rate of J48 and RF was 88.29 and 76.15 % on the Hetero dataset. On th […]

library_books

Imbalanced Learning Based on Logistic Discrimination

2016
Comput Intell Neurosci
PMCID: 4736373
PMID: 26880877
DOI: 10.1155/2016/5423204

[…] rics used for the balanced problem is very different from that used for the imbalanced one, and accuracy is inadequate for imbalanced learning. In lieu of accuracy, other assessment metrics including recall, precision, f-measure, and g-mean are frequently adopted in the research community to evaluate the performance of models on imbalanced learning problems. These metrics are designed based on the […]


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RPF institution(s)
Center for Advanced Biotechnology and Medicine, Northeast Structural Genomic Consortium, Rutgers University, Piscataway, NJ, USA; Magnetic Resonance Center and Department of Chemistry, University of Florence, Sesto Fiorentino, Italy; Robert Wood Johnson Medical School, University of Medicine and Dentistry of NJ, Piscataway, NJ, USA
RPF funding source(s)
Supported by Protein Structure Initiative of the National Institutes of Health [U54-GM094597]; the European Community FP7 e-Infrastructure ‘WeNMR’ projects [261572].

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