Search Results for "number prediction algorithm" - Page 2
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Showing 76 open source projects for "number prediction algorithm"
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cfPred
Chou & Fasman algorithm implemented using C language.
Chou & Fasman algorithm implemented using C language. It is a CUI tool used for protein secondary structure prediction. -
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faif
C++ header only library with AI and bioinformatics algorithms
C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others. -
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PSICOV
The unofficial binary for PSICOV: Protein Sparse Inverse COVariance
PSICOV (Protein Sparse Inverse Covariance estimation program) is a coevoultion algorithm applied to very large (typically >=1000 sequences) multiple sequence alignments for precise protein structural contact prediction. This is the unofficial precompiled Windows binary for PSICOV compiled by Chengxin Zhang at Fudan University. The source code is copyrighted by David T. Jones, University College London. -
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GPMfit
Gaussian Process Model Fitting
Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab. -
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n-chinese-remainders
chinese remainder theorem - progressive solving, n-soln, extras
...other funs: Euclidians, showFactors, changeBaseArr, caesar, rsa, inverseMod, IntToModTups (large number math for PC's) crfindnSolnAfterxInEqm (solve saw wave LL,RL,LR,... intersects) congruence, plots, y-shifted triangular wave solve, testing (for historic reasons files are also in https://sourceforge.net/projects/periodictablemm/) -
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pySimiam
Robot simulator inspired by Sim.I.Am
PySimiam is a robot simulator, created to follow the course "Control of Mobile Robots" offered at Coursera. The simulator models an arbitrary number of mobile robots in a 2D environment, each controlled by a arbitrary algorithm. -
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Visualization of Protein-Ligand Graphs
Compute protein graphs. Moved to https://github.com/MolBIFFM/PTGLtools
NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/ -
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ChEnMTD
Calculate the number of theoretical trays with McCabe-Thiele method
Use the McCabe-Thiele method to calculate the number of theoretical trays in a distillation column operated under the conditions specified. It has tools for data analysis to obtain empirical or semi-empirical equilibrium models. You can even use cubic splines. This project uses icons of "Open Icon Library" https://sourceforge.net/projects/openiconlibrary/ -
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WorldCupRatings
Soccer tournament predictions & simulations
...Bundesliga) simulation - based on Elo coefficient method, it calculates probabilities for Championship, Final, Quarter-Final, etc - additional features: single-play prediction, Elo number calculator, odd quota estimation Impress your friends with soccer expertise - just download, install & run! -
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GGNFS is an open source implementation of General Number Field Sieve algorithm for factoring integers.
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This software searches the potential energy surface of small to medium size atomic systems for global minima using quantum ab initio techniques. It performs bond rotations and molecule translations and rotations on a Linux cluster with MPI.
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WiiGesture for Fex/AIR
Allows inclusion of Gesture Interaction via WiiMote in Web-Apps
...We used it to identify intuitive gestures from users for certain commands. The entire work was part of my diploma thesis I wrote in 2008 at Fraunhofer IGD. The gesture recognition API was included in a number of example scenarios. -
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. -
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CNVision
CNV prediction from Illumina genotyping data
CNVision is a Perl script that runs Illumina genotyping data (all chips from 300k to latest Omni) through PennCNV, QuantiSNPv2.3 and GNOSIS (an in-built algorithm). It merges the results and assesses the quality of the raw data. CNVision can also identify de novo CNVs in family-based data using a highly accurate algorithm that considers the possibility of CNVs in either parent based on the raw genotyping data. The script is optimized to work in a UNIX-based environment; it should work in... -
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mCarts
A hidden Markov model to predict clustered RNA motif sites
Many RBPs recognize very short and degenerate sequences, with targeting specificity achieved by mechanisms such as synergistic binding to multiple clustered sites and modulation of site accessibility through different RNA-secondary structures. mCarts integrates the number and spacing of individual motif sites, their accessibility and conservation, which substantially improves signal to noise ratio. This algorithm learns and quantifies rules of these features, taking advantage of a large number of in vivo RBP binding sites obtained from high throughput sequencing of RNAs isolated by cross-linking and immunoprecipitation (HITS-CLIP). ... -
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NOFI ranking
The Non-Outlier Fragment Ion ranking for enhaced DIA quantification
The NOFI ranking algorithm has been developed to assign low priority to fragment ions affected by interference. The implementation is an R script that can be customized. A future version will contain a modular version. The outline is as follows: 1) The input contains the list of SWATH fragment ion XICs from the identified and quantified peptides by software tools such as Skyline and OpenSWATH. 2) The first step in NOFI is the computation of the 4 attributes (RTd, FWHMd, IRd and IRrep) used to represent each fragment ion as a vector. 3) Multivariate outlier detection techniques are used to rank all the fragment ions from each peptide. 4) Several figures are generated (a pdf file) to visualize the effect of the Top-N fragment ions over different indicators. 5) The user can choose the number of top fragment ions per peptide, thereby utilizing the optimal subset of high priority Top-N NOFIs for quantification while excluding the impaired fragment ions. -
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GDLOG
Implementation of the GNFS for discrete logarithm problem in GF(p)
GDLOG is an implementation of the General Number Field Sieve algorithm for discrete logarithm problem in GF(p). -
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GESPA
Accurately predicts disease association of single nucleotide mutations
GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are... -
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fitGCP
Fitting genome coverage distributions with mixture models
...Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm. Please find the accompanying paper here: http://dx.doi.org/10.1093/bioinformatics/btt147 -
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Face Recognition System
Face Recognition System Matlab source code
Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm. -
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A Disk Scheduling Simulator tool. With an intuitive GUI interface and command line functionality. Built using both VC and VB. Currently supports SSTF,LOOK,CLOOK,SCAN and CSCAN algorithms. Rotational latency is also optionally supported.
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LWPR
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. -
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RSSA
Rejection-based stochastic simulation algorithm (RSSA)
Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates. -
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FreDec
Parallelized FREquency DEComposer algorithm
This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. ... -
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mrCaNaVaR is a more user friendly and faster re-implementation of our previously published algorithm together with the mrFAST/mrsFAST/drFAST read mapping programs to discover large segmental duplications and deletions and predicts absolute copy numbers.
