Search Results for "mixture" - Page 4
Sort By:
Showing 175 open source projects for "mixture"
View related business solutions-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
Polluted gases Estimator
Create, estimate and analyses gas pollutants and the possible costs
The SPS machines are not designed to filter the particulates to be of acceptable size, level or concentration, unlike Wet Scrubbers, Electrostatic Precipitators, Diesel Particulate Filter DPF etc. The reality is that finest and ultra-finest Particulates tends to behave like gas rather than a gas-solids mixture or simply can be transported by vapour. Is the reason why many filtering technologies are ineffective. However, SPS technology is post-combustion system or last stage of production, which results in packaged CO2 or any other gases, without worrying about gas dilution and intrusion processes which more complicated and costly also are not well investigated, that is a setback for many CO2 technology. ... -
2
An extremely scriptable high-performance game engine suitable for building large streaming games with realistic graphics/physics in a seamless mixture of environments with broad gameplay opportunities.
-
3
GENSENG
GENSENG is a software detecting CNVs from NGS data
GENSENG is a software detecting CNVs(Copy Number Variations) from NGS(Next Generation Sequencing) data. We have uploaded the data preparation codes. Please download it from Files folder. -
4
Mixture100
Simply percent calculator
For making various mixtures, like homemade alcohol, brine or e-liquids. Add a components, set a percentage in total, set how much I want a given mixture and save, share or print recipe. -
Earn up to 16% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
5
Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
6
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 multiple samples. -
7
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 flag for each comparison. -
8
mixture fraction
Calculate mixture fraction field in OpenFOAM
A small flexible library plugin to calculate mixture fraction from species fields in OpenFOAM. -
9
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/pathoscope/files/pathoscope2.0_v0.02_tutorial.pdf Clinical Pathoscope version: http://sourceforge.net/p/pathoscope/wiki/clinical_pathoscope/ PathoQC download: http://sourceforge.net/projects/pathoscope/files/pathoqc_v0.1.4.tar.gz/download Publications: http://www.microbiomejournal.com/content/2/1/33 http://www.biomedcentral.com/1471-2105/15/262 http://genome.cshlp.org/content/23/10/1721 Support: PS: Please send an email to mani2012 at bu dot edu if you have any questions. -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
10
BNP-Homology
Alignment data for Protein Remote Homology Search
Alignment data from the application of a Bayesian mixture model to protein remote homology detection. -
11
jLDADMM
A Java package for the LDA and DMM topic models
The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models. See the usage of jLDADMM in its website at http://jldadmm.sourceforge.net/ -
12
BMIQ
Normalisation of Illumina Infinium 450k data
BMIQ is a beta mixture algorithm which corrects the bias of type2 design probes in Illumina Infinium 450k beadchips -
13
...SNP caller takes a FASTQ file and reference SNP panel as input and generates SNP calls. 2. Kinship analysis 3. Ancestry prediction 4. Data quality check 5. Replicate analysis 6. Mixture analysis module available by request
-
14
To explain how magic shortcut works. I have to first explain the problem it is solving. In a network environment where you are running a mixture of x64 and x86 clients. You have many shortcut problems and have to create many different shortcuts to get it to work. MagicShortcut removes the need for this.
-
15
fitGCP
Fitting genome coverage distributions with mixture models
...fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. 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 -
16
AMD_HealthSocialCareSim
Multi-paradigm simulation of health and social care for AMD sufferers
...This is an AnyLogic-based simulation of age-related macular degeneration (AMD), which tries to capture both the detailed operation of an eye clinic and the broader social care of AMD sufferers. It uses a mixture of agent-based modelling (ABM), discrete-event simulation (DES) and system dynamics (SD). It also serves as a demonstration simulation model for the Java Simulation Infrastructure Toolkit (JSIT), using its AnyLogic helper library, and an example of other software-engineering-best-practice ways to structure simulation models (which are covered in the journal paper "Simulation Design: Trans-Paradigm Best-Practice from Software Engineering" which introduces JSIT). ... -
17
BiomeNet
BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES
...To infer the structure of community-level metabolic interactions, BiomeNet applies a mixed-membership modelling framework to enzyme abundance information. The basic idea is that the mixture components of the model (metabolic reactions, subnetworks, and networks) are shared across all groups (microbiome samples), but the mixture proportions vary from group to group. Through this framework, the model can capture nested structures within the data. BiomeNet is unique in modeling each metagenome sample as a mixture of complex metabolic systems (metabosystems). -
18
Mixture Fraction Foam
Open Foam source for mixture fraction LES
LES Simulation utilizing transport of enthalpy and single conserved scalar - mixture fraction. density and source terms resolved via tabular lookup. -
19
de:Code
Top-down dungeon crawler
de:Code is a 3rd-person top-down dungeon crawler. The world is procedurally generated using the file structure of the users hard drive. The game will use a mixture of different genres including steampunk, fantasy, mid-evil, and modern. The user will have to travel down 4 main paths each progressively harder than the last and each will have more than one genre conflicting inside. Each main path (connected by a central hub) will get harder as the user progresses down, finally reaching a unique boss at the end. -
20
-
21
Bayesian Gaussian mixture model (GMM) fitting with noninformative priors, as described in (Stoneking, 2014 - arXiv:1405.4895). MATLAB and R implementations.
-
22
PopR
Analysis of population structure in R with finite and infinite mixture
-
23
Programmed in Java, this game is a mixture between FreeCell and normal Solitaire. The current version is Beta v.76.
-
24
AMICA
Adaptive Mixture Independent Component Analysis with Shared Components
Multiple mixture ICA, where model means and independent components are learned. It is possible to reject data and share component between models to increase efficiency. Matlab and independent gui (using Qt) nterfaces available. Uses MPI and OpenMP for inter-node and intra-node parallelization. -
25
Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
