Search Results for "number prediction algorithm"
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Showing 19 open source projects for "number prediction algorithm"
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miRDeep*
MiRDeep*
Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction. -
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Updated 2022-06-11 added option to allow use of atoms other than C-alpha Updated 2021-11-29 to enable compilation on stricter compilers. Ab Initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. Calibur is an efficient tool for finding the decoy with the most number of neighbors within a threshold distance. If you prefer to use GitHub, go to https://github.com/kalngyk/calibur
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DACO-algorithm
A novel transcription factor complex prediction algorithm.
Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines... -
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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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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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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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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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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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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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Face Recognition Based Login Assistant
Login to Websites Automatically Using Your Face as Password
...The Viola - Jones Algorithm presents a novel face detection technique, we would implement this technique for face detection and then use eigen faces method to recognize the person in the image. Once recognized the person can easily sign in to any applications without the need of typing passwords or usernames. -
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easyPAC
easy Primer prediction from Alignments and Consensus sequences
Primer prediction from alignments and consensus sequences. easyPAC applies all standard quality tests to degenerate primer and primer pairs and optionally maps all primer candidates to an arbitrary number of reference files like repeat databases or genomes to ensure target specifity. -
14
GenNon-h
Simulating non-homogeneous multiple sequence alignments
...GenNon-H is the first package designed to generate multiple sequence alignments under the discrete-time Markov processes on phylogenetic trees, which samples directly from the transition matrices. Based on the input model and a phylogenetic tree in the Newick format (with branch lengths measured as the expected number of substitutions per site), the algorithm produces DNA alignments of desired length. GenNon-H is a collaborative project described at http://genome.crg.es/cgi-bin/phylo_mod_sel/AlgGenNonH.pl. -
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CRUMp
A probabilistic prediction system of protein phosphorylation sites
CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format. The sequence headers list... -
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CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74
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CheMecher is a fully-featured chemical simulator that supports an arbitrary number of reaction steps and chemical species. Uses the Runge-Kutta algorithm for numeric solutions.
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MAGMA: Multiobjective Analyzer for Genetic Marker Acquisition A genetic algorithm for generating SNP tiling paths from a large SNP database based on the competing objectives of cost (number of SNPs) and coverage (haplotype blocks): Hubley R., Zitzler
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videonetwork
A simulator for self-organizing video replication and more
Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. ...
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