:: DESCRIPTION
RSARF is a random forest method to predict residue accessible surface area from protein sequence information.
::DEVELOPER
:: SCREENSHOTS
n/a
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Protein Pept Lett. 2012 Jan;19(1):50-6.
RSARF: prediction of residue solvent accessibility from protein sequence using random forest method.
Pugalenthi G1, Kandaswamy KK, Chou KC, Vivekanandan S, Kolatkar P.
:: DESCRIPTION
LncRNA-ID is a new tool that calculates the coding potential of a transcript using a machine learning model (random forest) based on multiple features including sequence characteristics of putative open reading frames, translation scores based on ribosomal coverage, and conservation against characterized protein families.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
LncRNA-ID: Long non-coding RNA IDentification using balanced random forests.
Achawanantakun R, Chen J, Sun Y, Zhang Y.
Bioinformatics. 2015 Aug 26. pii: btv480.
:: DESCRIPTION
MASS is a QA method to predict the global qualities of individual protein models using random forests and various novel energy functions.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Liu T, Wang Z.
MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials.
BMC Bioinformatics. 2020 Jul 6;21(Suppl 4):246. doi: 10.1186/s12859-020-3383-3. PMID: 32631256; PMCID: PMC7336608.
:: DESCRIPTION
RFcon is a software for sequence-based prediction of protein residue-residue contacts
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Luttrell J 4th, Liu T, Zhang C, Wang Z.
Predicting protein residue-residue contacts using random forests and deep networks.
BMC Bioinformatics. 2019 Mar 14;20(Suppl 2):100. doi: 10.1186/s12859-019-2627-6. PMID: 30871477; PMCID: PMC6419322.
