Search Results for "significance analysis of interactome"
Sort By:
Showing 20 open source projects for "significance analysis of interactome"
View related business solutions-
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
-
ConnectWise ScreenConnect, formerly ConnectWise Control, is a remote support solution for Managed Service Providers (MSP), Value Added Resellers (VAR), internal IT teams, and managed security providers. Fast, reliable, secure, and simple to use, ConnectWise ScreenConnect helps businesses solve their customers' issues faster from any location. The platform features remote support, remote access, remote meeting, customization, and integrations with leading business tools.
-
1
The Interactome-Transcriptome Integration (ITI) algorithm allows the analysis of gene expression data by superimposition of a large scale protein-protein interaction data (human interactome) over several gene expression datasets. ITI extracts regions in the interactome with differentiating expression over two conditions. These subnetworks can that be used to build a generalizable and stable genomic signature for genomic/cancer classification.
-
2
Artifact GeoMorph Toolbox 3D 3.1
A toolbox for 3DGM shape analysis of archaeological artifacts
The Artifact Geomorph Toolbox 3D software is designed to provide the archaeologist interested in artifact shape variability with a toolbox to allow the acquisition, analysis and results exploration of homologous 3D landmark-based geometric morphometric data. As such, the toolbox contains an automated item and semi-landmarks positioning procedure and the fundamental statistical analyses and procedures to allow the processing and analysis of the data. It is designed to be easy to use... -
3
MicroRNAs (miRNAs) are of significance in tuning and buffering gene expression. Despite abundant analysis tools have been developed in the last two decades, plant miRNA identification from next-generation sequencing (NGS) data remains challenging. Here present a user-friendly pure Java-based software package, SRICATs, which enable researchers to perform all steps of plant miRNA analysis based on convolutional neural network methods. SRICATs outperforms currently popular software tools...
-
4
Soma-direct
System Omnichannel Marketing Analysis
Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints... -
Calmerry is beneficial for businesses of all sizes, particularly those in high-stress industries, organizations with remote teams, and HR departments seeking to improve employee well-being and productivity
-
5
-
6
mapDIA
Model-based Analysis of quantitative Proteomics data in DIA-MS
mapDIA performs essential data preprocessing, including novel retention time-based normalization method and a sequence of peptide/fragment selection steps, and more importantly, hierarchical model-based statistical significance analysis for multi-group comparisons under representative experimental designs. The advanced modelling technique also allows the user to incorporate relational information such as existing network data or protein-peptide mapping, enabling module-oriented analysis... -
7
canova
Efficient Test for Nonlinear Dependence of Two Continuous Variables
Testing dependence/correlation of two variables is one of the fundamental tasks in statistics. We focus on testing nonlinear dependence/correlation of two continuous variables (X and Y). We address this problem by a framework named CANOVA (continuous analysis of variance). In the CANOVA framework, we first define a neighborhood of each data point according to its X value, and then calculate the variance of the Y value within the neighborhood, finally perform a permutation test... -
8
The VPT2-screened PyVCI program package is a general purpose open-source code for simulating accurate molecular spectra, based upon force field expansions of the potential energy surface in normal mode coordinates. It includes harmonic normal coordinate analysis, vibrational perturbation theory and vibrational configuration interaction (VCI) algorithms, with VCI matrix elements chosen iteratively according to VPT2 energy contributions, across a range of significance thresholds...
-
9
PALM
Probabilistic natural mapping for gene based association study.
PALM is a software that conducts gene-based association analysis. PALM exploits Hidden Markov Models (HMM) to capture the inner genomic structures. Then, unique gene features (termed "palm prints") are extracted for each gene set by calculating the natural gradient. Then palm-prints are tested with chi-square significance test. -
Built for growing businesses and well-established enterprises alike, Multiview is a highly scalable and robust ERP.
-
10
CoverageAnalyzer
RNA modification detection by RT signatures in deep sequencing data
.... Consequently, the community will profit from a platform seamlessly connecting detailed visual inspection of RT signatures and automated screening for modification candidates. CoverageAnalyzer was developed in response to the demand for a powerful inspection tool, running on all 3 OSes. With SAM standard as input and an intuitive GUI, even non-experts can accomplish a variety of tasks, from visualization of RNA Seq data, up to sophisticated modification analysis with significance-based candidate calling. -
11
Combenefit
Synergy analyses of drug and other other agent combinations
Combenefit software is a standalone application for Windows that performs surface analyses of drug and other agent combinations to identify synergy. Please cite as: "Di Veroli,G.Y. et al. (2016) Combenefit: an interactive platform for the analysis and visualization of drug combinations. Bioinformatics." (http://bioinformatics.oxfordjournals.org/content/early/2016/05/27/bioinformatics.btw230.abstract) Current version (2.021): https://sourceforge.net/projects/combenefit/files/Combenefit... -
12
goSTAG
Gene Ontology Subtrees to Tag and Annotate Genes within a set
We developed goSTAG for utilizing Gene Ontology Subtrees to Tag and Annotate Genes that are part of a set. Given gene lists, goSTAG performs GO enrichment analysis and clusters the GO terms based on the p-values from the significance tests. GO subtrees are constructed for each cluster, and the term that has the most paths to the root within the subtree is used to tag and annotate the cluster. -
13
EDM Calibration Baseline Fitting
EDMFit is an adjustment tool to estimate EDM calibration parameters.
An EDM calibration baseline is used to derive specific instrument errors of the electronic distance measurement (EDM) unit of a total station. EDMFit is a simple adjustment tool to estimate the EDM calibration parameters (addition constant and/or scale parameter). The adjustment process is according to ISO 17123-4. The parameters are checked for significance, to avoid an overestimation. Based on two classical hypothesis testing, EDMFit provides a reliable outlier detection -
14
Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of rules reported by these algorithms just satisfy the user-defined constraints purely by accident, and cannot express real systematic effects in data sets. Thus, such rules are false positives that could be filtered out through statistical significance testing. In the context of association rule discovery, the permutation...
-
15
Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional... -
16
EPARandSP
Computing Exact Permutationp-Values for Association Rules
Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of rules reported by these algorithms just satisfy the user-defined constraints purely by accident, and cannot express real systematic effect in data sets. Thus, such rules are false positives that should be filtered out through statistical significance testing. In the context of association rule discovery... -
17
vonMises
Package for dealing with the von Mises periodogram
This is the package of C++ programs facilitating the practical use of the von Mises periodogram. The von Mises periodogram is a data-analysis period-search tool that models the periodic signal with the so-called von Mises function, K exp(nu cos x). The package can be used to compute the periodogram itself, as well as its detection significance levels. It can also perform some Monte Carlo simulations of the periodogram. The details of the theory are given in the following refereed paper... -
18
This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.
-
19
A collection of functions, in the end to be wrapped in a gui, that allow users to analyze networks from global (eigenvector centrality) and local (degree dist, statistical significance) perspectives. Implemented in matlab.
-
20
Automatically create Web test using metric significance and centrality. The software extracts all the hyperlinks of a site and then using Link analysis calculates the centrality and importance of each webpage finally produces smoke & stress web test
- Previous
- You're on page 1
- Next