Search Results for "co occurrence matrix"

Tullio is a very flexible einsum macro. It understands many array operations written in index notation -- not just matrix multiplication and permutations, but also convolutions, stencils, scatter/gather, and broadcasting. Used by itself the macro writes ordinary nested loops much like Einsum.@einsum. One difference is that it can parse more expressions, and infer ranges for their indices. Another is that it will use multi-threading (via Threads.@spawn) and recursive tiling, on large enough...

Promises simplify asynchronous programming, freeing you up to focus on the more important things. They are easy to learn, easy to master and result in clearer, more readable code. Your co-workers will thank you. PromiseKit is a thoughtful and complete implementation of promises for any platform that has a swiftc. It has excellent Objective-C bridging and delightful specializations for iOS, macOS, tvOS and watchOS. It is a top-100 pod used in many of the most popular apps in the world. We...

Motofit co-refines Neutron and X-ray reflectometry data, using the Abeles matrix / Parratt recursion and least squares fitting (Genetic algorithm or Levenberg Marquardt). It works in the IGOR Pro environment (TM Wavemetrics).

1. Overview REMON stands for Redis Multi-instance Monitoring and is software that monitors the status of the Redis database and supports convenience functions so that users can see at a glance whether Redis instances are operating normally. 2. Features 1) Matrix view: You can monitor Redis instances by grouping them. 2) Minimize CPU load: The Agent's CPU usage rate is less than 2%, causing very little load. 3) Threshold notification and quick confirmation: You can monitor important...

MPICorMat is a parallel tool to construct correlation similarity matrices as part of the procedure to generate gene co-expression networks. This tool takes as input a matrix with the expression values (a float value) for different genes observed from several samples. It is a parallelization of the first module of the RMTGenNet tool (https://github.com/spficklin/RMTGeneNet). RMTGeneNet users can exchange this CCM module by MPICorMat, benefit from its fast computation to generate the similarity...

UMLS::Association is a software package to quantify the association between UMLS concepts using co-occurrence information from the Metamapped Medline Baseline. Given two medical terms as input, the output will be a numeric score that indicates how associated the terms are.

The SimilarityViewer allows the identification of genes co-occurring in subsets of 77 cyanobacterial organisms. The software is available as a MATLAB script and as stand-alone applications for Mac, Linux, and Windows computers. To install this program download the zip file appropriate for your system, unzip it, and follow the instructions in the README file. SimilarityViewer and the included data are licensed under the Apache License Version 2.0. If you use the SimilarityViewer...

MPIGeneNet is a parallel tool to construct gene co-expression networks using Pearson’s correlation and Random Matrix Theory (RMT). This tool takes as input a matrix with the expression values (a float value) for different genes observed from several samples. It is a parallelization of RMTGenNet tool (https://github.com/spficklin/RMTGeneNet). MPIGeneNet integrates the whole procedure of creating the in one program, which makes the tool easier to work with (the users only have to launch...

GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors...

CoNet is a Cytoscape plugin that detects significant non-random patterns of co-occurrence (copresence and mutual exclusion) in incidence and abundance data. It has been designed with (microbial) ecological data in mind, but can be applied in general to infer relationships between objects observed in different samples (for example between genes present or absent across organisms).

The research project aims to find the set of entities which form the co-occurrence signature for a given semantic context in Online Social Spaces. Co-occurrence signature is a probability of concepts that define a semantic context.

Anets extracts associations between items in a transaction-like table using their co-occurrence profiles. Anets is originally developed to disclose both direct and indirect associations between biological annotations from heterogeneous sources.

given three point that are not co-linear in the object or image space return a rotation matrix and offset that allows image points to be projected back into object space.

Set of R-package and perl scripts to build and compare gene-expression networks using 3-value discretization - up, unchanged and down (1, 0, -1). The tools require up to 32 Gb of memory to build and analyse networks of about 20,000 nodes.

Philos is a Co-occurrence matrix - based image classificator.

LAITOR is a text mining software developed to find co-occurrence of biological entities (gene/protein terms) together with biointeractions and concepts term from customized dictionaries.

Project deals with analyzing the Google-Ngram data to create a co-occurrence network. Second stage of this project will allow the user to query the co-occurrence network to retrieve all possible word combinations that occur with the query string.

The goal of this project is to build a co-occurrence network using google n-gram data. This project presents an easy and fast way to analyze Google n-gram data, which is contributed by Google Inc in 2006.