Tag: Associations

PGS 0.2.0 – Analyzing Associations of high-dimensional microRNA Expression data

PGS 0.2.0

:: DESCRIPTION

PGS (Penalized GEE with Grid Search) is a penalized regression model incorporating grid search method for analyzing associations of high-dimensional microRNA expression data with repeated measures.

::DEVELOPER

PGS team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • R

:: DOWNLOAD

 PGS

:: MORE INFORMATION

Citation

PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures.
Zheng Y, Fei Z, Zhang W, Starren JB, Liu L, Baccarelli A, Li Y, Hou L.
Bioinformatics. 2014 Jun 19. pii: btu396.

iLncRNAdis-FB – Identify potential lncRNA-disease Associations

iLncRNAdis-FB

:: DESCRIPTION

iLncRNAdis-FB is a new predictor for identifying lncRNA-disease associations by fusing biological feature blocks through deep neural network

::DEVELOPER

Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Wei H, Liao Q, Liu B.
iLncRNAdis-FB: identify lncRNA-disease associations by fusing biological feature blocks through deep neural network.
IEEE/ACM Trans Comput Biol Bioinform. 2020 Jan 6;PP. doi: 10.1109/TCBB.2020.2964221. Epub ahead of print. PMID: 31905146.

miRPD – miRNA Protein Disease Associations

miRPD

:: DESCRIPTION

miRPD is a web server in which miRNA-Protein-Disease associations are explicitly inferred.

::DEVELOPER

Center for non-coding RNA in Technology and Health (RTH), JensenLab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 miRPD

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Feb 1;30(3):392-7. doi: 10.1093/bioinformatics/btt677. Epub 2013 Nov 21.
Protein-driven inference of miRNA-disease associations.
Mørk S1, Pletscher-Frankild S, Palleja Caro A, Gorodkin J, Jensen LJ.

SNPAssociation – Detecting Two-locus Associations allowing for Interactions in GWAS

SNPAssociation

:: DESCRIPTION

SNPAssociation is a code for testing associations allowing for interactions in genome-wide association studies.

::DEVELOPER

Laboratory for Bioinformatics and Computational Biology, HKUST

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 SNPAssociation

:: MORE INFORMATION

Citation:

Bioinformatics. 2010 Oct 15;26(20):2517-25. doi: 10.1093/bioinformatics/btq486. Epub 2010 Aug 24.
Detecting two-locus associations allowing for interactions in genome-wide association studies.
Wan X1, Yang C, Yang Q, Xue H, Tang NL, Yu W.