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Analogical Modeling is an exemplar-based approach to machine learning which imitates human behavior in outcome prediction. Its design has been applied to many natural language and other phenomena which exhibit variable behavior. A Perl XS implementation is available from http://humanities.byu.edu/am/ . This project is a Java implementation of the same. For more information on Analogical Modeling, see http://en.wikipedia.org/wiki/Analogical_modeling .
GLEAN is an unsupervised learning system to integrate disparate sources of gene structure evidence (gene model predictions, EST/protein genomic sequence alignments, SAGE/peptide tags, etc) to produce a consensus gene prediction, without prior training.
A system that shall predict good days and locations for cross country free flying such as paragliding by comparing current weather predictions with statistics about past weather predictions and flights from online contests.
The aim of this project is to develop a gear design program, which will be able to utilise any known contemporary tooth profile and perform strength calculations on it. A subsequent goal will be to include a life prediction functionality.
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PocketDepth helps determine binding grooves for protein molecules. Applicable in Bioinformatics and Drug discovery.
Literature - http://www.ncbi.nlm.nih.gov/pubmed/17949996
Author's thesis - http://openwetware.org/wiki/Kalidas_Y
H-mito is a mitochondrial DNA haplogroup prediction tool based on the phylogenetic tree http://www.phylotree.org/. Ancillary scripts: mitoP.py to extract mutation lists and clustal-2-fasta.zip to join, align through clustalw and convert data.
Remote monitoring and controll system for home use. Main goal is to create multilayer software for collecting data (weather data, measured data), gain remote access via web page, and controll some aspects like heating and lighting. https://flattr.com
Windows application for data mining with self-organizing neural networks. It works with text data files and has convenient user interface. Is solves data mining tasks of class Recognition, continuous value Prediction, and time series Forecast.
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It's a project to predict peptide fragmentation of mass spectrometry. Check the detail at Anal Chem. 2011 Feb 1;83(3):790-6. On the accuracy and limits of peptide fragmentation spectrum prediction. Li S, Arnold RJ, Tang H, Radivoja
FusionMiner is a molecular biology program which accepts genomic alignments in BLAST/BLAT tabular output and attempts to find true fusion transcripts. A single command runs the pipeline and generates results.
GAME stays for Generic Architecture based on Multiple Experts.
Its main purpose is to make easy prototyping, test and release of prediction systems.
Released by IASC group, university of Cagliari
T-RFPred, Terminal-Restriction Fragment Prediction Tool, is a group of Perl scripts that will help researchers to identify the profile peaks of a T-RFLP fingerprint using clone libraries of partially sequenced 16S rRNA genes from the same sample.
DANGLE: A Bayesian inferential prediction method for protein backbone dihedral angles and secondary structure assignments, solely from sequence information, experimental chemical shifts and a database of known protein structures and their shifts.
AnnaF is an automatic gene annotation framework, that is used to do some automatic annotation for C. higginsianum. It was also tested on F. graminearum and should work well for fungi in general.
AnnaF was build upon the pipeline framework Anna.
BARNACLE is a Python library for RNA 3D structure prediction. It can be used for probabilistic sampling of RNA structures that are compatible with a given nucleotide sequence and that are RNA like on a local length scale.
BCAR is a library for the associative classification, which denotes "Boosting
Class Association Rules". BCAR provides a general tool for classification tasks
with various types of input data.
Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
Shape is a molecular conformation prediction program. It uses a genetic algorithm to efficiently search the conformational space of a biomolecule and then clusters the results. It is very simple to use.
MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.