Showing 4 open source projects for "multiple linear regression"

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  • 1
    Jmol

    Jmol

    An interactive viewer for three-dimensional chemical structures.

    ...Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other quantum chemistry programs. Files can be transferred directly from several databases, including RCSB, EDS, NCI, PubChem, and MaterialsProject. Multiple files can be loaded and compared. A rich scripting language and a well-developed web API allow easy customization of the user interface. Features include interactive animation and linear morphing. Jmol interfaces well with JSpecView for spectroscopy, JSME for 2D->3D conversion, POV-Ray for images, and CAD programs for 3D printing (VRML export).
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    Downloads: 1,103 This Week
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  • 2
    miRNA Temporal Analyzer (mirnaTA)

    miRNA Temporal Analyzer (mirnaTA)

    Differential expression analysis tool for miRNAs in temporal studies

    The microRNA Temporal Analyzer (mirnaTA) is a bioinformatics tool which can be used to identify differentially expressed miRNAs in temporal studies. It is implemented in Perl and R package (>= 2.13.0) and can be run across multiple platforms such as Linux, Mac and Windows. The mirnaTA requires that users provide data from a minimum of two time points and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, and the normalized data is analyzed using linear regression model to locate any miRNAs which are differentially expressed in a linear manner. ...
    Downloads: 1 This Week
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  • 3
    FineSplice

    FineSplice

    Enhanced splice junction detection and estimation from RNA-Seq data

    ...Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. Multiple mapping reads with a unique location after filtering are rescued and reallocated to the most reliable candidate location. FineSplice requires Python 2.x (>= 2.6) with the following modules installed: pysam (http://code.google.com/p/pysam/) and scikit-learn (http://scikit-learn.org/). For further details check out our publication: Nucl. ...
    Downloads: 9 This Week
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  • 4
    This is a SAS(r) Software macro package for performing multipoint QTL mapping using the DeFries-Fulker multiple regression approach to unselected and selected samples.
    Downloads: 0 This Week
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