Search Results for "bayesian" - Page 3
Sort By:
Showing 236 open source projects for "bayesian"
View related business solutions-
HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
-
Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
-
1
BNMCMC
Infer Bayesian Network Structure from data using MCMC methods
Infer Bayesian Network Structure from data using MCMC methods -
2
Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow... -
3
MOSGWA
genome wide association studies / Bayesian-type information criteria
MOSGWA is a tool for genome wide association studies (GWAS). It currently implements a search strategy using logistic regression and linear regression. -
4
MrBayes is a program for the Bayesian estimation of phylogeny. The project has been moved to GitHub: https://github.com/NBISweden/MrBayes
-
When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
-
5
We introduce a nonparametric Bayesian clustering method for inhomogeneous Poisson processes to detect heterogeneous binding patterns of multiple proteins including transcription factors. The estimated protein clusters form regulatory modules in different chromatin states, which help explain how proteins work together in regulating gene expression. We applied this approach on ChIP-seq data for mouse neural stem cells containing 21 proteins and observed different groups or modules of proteins...
-
6
The JAGS ALCOVE module is an extension for JAGS, which provides functions to enable a bayesian analysis with the ALCOVE model. See the README in Code for usage details.
-
7
BisSNP
Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller
Now in Github: https://github.com/dnaase/Bis-tools/tree/master/Bis-SNP BisSNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other... -
8
UBhara - Soft Computing
Soft Computing untuk Universitas Bhayangkara
Projek dalam mata kuliah soft computing yang ada pada Universitas Bhayangkara. Projek dibangun berdasarkan kelompok. Hasil akhir dari projek ini bertujuan menghasilkan sebuah prototipe sederhana atau artifak software berdasarkan open source. Cakupan aplikasi yang ingin dipahami, adalah salah satu, dari: JST, Expert System, Bayesian, .... -
9
CABBaGe
Classification Algorithm Based on a Bayesian method for Genomics
-
Engage is a pre-built, intelligent contact center platform that transforms customer service.
-
10
The Interaction Network Ontology (INO) is an ontology in the domain of interaction networks. INO develoment follows the OBO Foundry principles. INO can be used for automated reasoning such as literature mining and Bayesian network reasoning.
-
11
Meta-DTA
Bayesian models, meta-analysis, statistical software, critical analysi
Generally, when performing a meta-analysis of diagnostic tests, summary measures, such as sensitivity, specificity, and diagnostic odds ratios, are employed. However, they may not be adequate to integrate studies of diseases with varying prevalence . On the other hand, the cutoff points of the different studies are often unknown or heterogeneous, which is an added problem while using the abovementioned summary measures because they depend on a direct form of the cutoff points of cutused .... -
12
The KReator project is a collection of software systems, tools, algorithms and data structures for logic-based knowledge representation. Currently, it includes the software systems KReator and MECore and the library Log4KR: - KReator is an integrated development environment (IDE) for relational probabilistic knowledge representation languages such as Bayesian Logic Programs (BLPs), Markov Logic Networks (MLNs), Relational Maximum Entropy (RME), First-Order Probabilistic...
-
13
exbayes
examples of Bayesian computations
The examples from my series of blog posts on how to use the Bayesian computations in practice. -
14
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. -
15
PrivBayes
Private Data Release via Bayesian Networks
-
16
BATS
Bayesian Adaptive Trial Simulator
A user-friendly, quick simulator for Bayesian Multi-Arm Multi-Stage Trials -
17
BayesAss
Bayesian Inference of Recent Migration Using Multilocus Genotypes
Inference of recent migration rates between populations using multi-locus marker genotype data. -
18
BayeFM-MCMC-v1.0
Fine mapping using Bayesian MCMC
A new fine mapping method for detecting causitive variants (clusters) using Bayesian MCMC for complex traits. It is typically suitable to the GWAS identified region, which typically confines the causitive variant in a small region, say 1Mb or even small region. If there are enough variants are genotyped or imputed with high quality. The software is able to generate a set of credible sets t refine the causitive variants. The feature of the method is that (1) it detects multiple causitive... -
19
Master Thesis: cointegratedVAR
compare sparse and Bayesian approach for estimation and forecasting
A sparse and Bayesian approach for estimation and forecasting in cointegrated VAR models. Compares a sparse estimator put foreward by Wilms and Croux with a Bayesian approach used by Warne. This the Code written for my Master Thesis in applied mathematics. -
20
EBprotV2
Bayesian Analysis of labeling-based Quantitative Proteomics Data
EBprotV2 is an extension to the existing EBprot (version 1) which adopts a more flexible non-parametric mixture model. It serves as an differential expression analysis tool which takes into account the direct peptide to protein hierarchy which differs from the usual analysis which occurs at the protein-summary level. The tool is implemented in C++ which minimize computational time and also, incorporates an additional module which help users to generate comparison ratios between groups with... -
21
EBprot
Bayesian Analysis of labeling-based Quantitative Proteomics Data
EBprot implements a hierarchical mixture model directly representing the peptide-protein map. The model fit is used to score differential expression of proteins in a (signed) probability scale based on reproducible quantification over multiple peptides. The package takes as input a data matrix with each row containing the data for one peptide, including protein and peptide identifier and peptide ratio(s), and returns the protein-level score table with PPscore, BFDR, Posterior Odds score, and... -
22
BayesRate
Bayesian estimation of diversification rates
BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163... -
23
Pathoscope
Predicts strains of genomes in Nextgen seq alignment file (sam/bl8)
This page is here for archival purpose. Please visit github for the latest version of the software: https://github.com/pathoscope PathoScope takes next-generation sequencing reads from a mixture sample and predicts which genomes are present. We use a Bayesian framework combined with an initial reference-based alignment to assign reads to the correct genome of origin. Pathoscope 2.0: Wiki: http://sourceforge.net/p/pathoscope/wiki/Home/ Tutorial: http://sourceforge.net/projects... -
24
Pyclamp
A Python package used to extract and analyse electrophysiological data
... and size, and output the results. Quantal analysis : This part of the package performs simple variance-mean analysis and Bayesian quantal analysis to estimate the quantal sizea dn number of release sites among other measures. -
25
BNP-Homology
Alignment data for Protein Remote Homology Search
Alignment data from the application of a Bayesian mixture model to protein remote homology detection.