H-RVM statistics

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Citations per year

Number of citations per year for the bioinformatics software tool H-RVM
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Tool usage distribution map

This map represents all the scientific publications referring to H-RVM per scientific context
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H-RVM specifications

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Unique identifier OMICS_27595
Name H-RVM
Alternative name Hierarchical Relevance Vector Machines
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 0.1.1
Stability Stable
Maintained No

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Publication for Hierarchical Relevance Vector Machines

H-RVM citation

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Cardiac Molecular Acclimation Mechanisms in Response to Swimming Induced Exercise in Atlantic Salmon

2013
PLoS One
PMCID: 3555865
PMID: 23372811
DOI: 10.1371/journal.pone.0055056

[…] 19.6±0.13 cm for the high intensity (H) groups, respectively (p>0.05). Yet, ventricular mass relative to body mass (RVM) of trained fish had grown more than control fish by 11.1% for M and 19.4% for H: RVM values were 0.087±0.004%; 0.097±0.007% and 0.104±0.007% for C, M and H, respectively. Hence, a clear tendency (p = 0.06, Student’s t-test) existed for cardiac growth to be intensity-dependent b […]


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H-RVM institution(s)
Department of Statistics, Purdue University, West Lafayette, IN, USA; Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Computer Science, University of Houston, Houston, TX, USA; Department of Biostatistics, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
H-RVM funding source(s)
Supported by NIH grant R01 CA160736, NSF grant IIS-915196, the Cancer Center Support Grant (CCSG) (P30 CA016672), by 5U24 CA143883-04 and P30 CA016672, by NSF grant IIS-914861.

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