Search Results for "dataset" - Page 23
Sort By:
Showing 643 open source projects for "dataset"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
1
Wunderfixer
Supplies missing data to the Weather Underground
Given a weewx or wview SQLITE dataset, this utility compares timestamps against the Weather Underground. If any are missing, it republishes the data to the WU. -
2
-
3
ExData Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
This repository explores household energy usage over time using the “Individual household electric power consumption” dataset from the UC Irvine Machine Learning Repository. The dataset covers nearly four years of minute-level measurements, including power consumption, voltage, current intensity, and detailed sub-metering values for different household areas. For analysis, focus is placed on a two-day period in February 2007, highlighting short-term consumption trends. ... -
4
pmutualinformation
Computes pairwise genes mutual information using GEPs
pmutualinformation (parallel mutual information) computes the pairwise Mutual Information for all pairs of genes from a potentially massive and heterogeneous dataset containing GEPs. GEPs can be part of different experiments collected from public repositories. pmutualinformation runs on MIMD systems and has been implemented in C using the MPI standard. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
phpMyForms is a php script which allows the user to create simple database listings (done in 3 lines of configuration), or simple dataset manipulation formulars (~10 lines) by adjusting small php config files.
-
6
Pepgrep
Tool for peptide MS2 pattern matching in MS tandem dataset
pepgrep offers a quick and friendly way to examine MS tandem output data by finding a spectral pattern matching selected peptide sequence. It is database-free command-line utility that uses Peptide-to-MS2 scoring algorithm. The Peptide-to-MS2 pattern matching can accumulate dozens of mass offsets corresponding to a variety of Post-Translational Modifications. Decoy peptide sequences are used with the tested peptide sequence to reduce false-positive results. Read article at:... -
7
Calculates Natural Product(NP)-likeness of a molecule, i.e. the similarity of the molecule to the structure space covered by known natural products. NP-likeness is a useful criterion to screen compound libraries and to design new lead compounds. Maven dependancy: <dependency> <groupId>uk.ac.ebi.cheminformatics</groupId> <artifactId>NP-Likeness</artifactId> <version>2.1</version> </dependency> Required repository: <repositories> ...
-
8
hiovit-A
hiovit-A is a simple yet flexible data visualization tool
...Hiovit-A can be used to compare a) different AP-MS datasets of various baits or b) a particular bait under various perturbations (lenticular section hiovit-a). The output of hiovit-A is a simple and intuitively easy to grasp visualization of a complex dataset. Previously known as PIVOT (Protein Interaction Visualization and Observation Tool) -
9
Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
...Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
QSAR Dataset Division GUI
Dataset division GUI is a user friendly QSAR dataset division tool
The purpose of this application tool is to perform rational selection of training and test set using Kennard Stone algorithm, diversity based and activity based division method. -
11
miRStress
A desktop viewer for the miRStress database
A python based program to allow users to interrogate the miRStress dataset off-line. miRStress project conceived and overseen by Dr. Dave RF Carter and Laura A Jacobs. miRStress python file written by Dr. Mark Poolman and Findlay Copley (this is also what powers the web site). Tkinter scripts written by Findlay Copley Publications - Jacobs LA, et al. Meta-analysis using a novel database, miRStress, reveals miRNAs that are frequently associated with the radiation and hypoxia stress-responses. ... -
12
FOCIS
FOCIS finds features for functional follow-up
FOCIS (Feature Overlapper for Chromosomal Interval Subsets) performs an interval-based screen of a database of genomic features – ChIP-seq peaks, motif matches, and others – for overlap enrichment at a specific subset of genomic regions relative to a dataset-matched background. It was recently used to discover a novel enhancer that mediates drug resistance in melanoma. -
13
-
14
Multilabel Dataset GUI
An application for evaluating metric in Multilabel dataset
Multilabel Dataset GUI is a software for evaluating metric in Multilabel dataset. In this project we try to collect as much information as possible for characterizing multilabel dataset. This application is closely based upon the Weka and MULAN framework. -
15
-
16
VCL.JS
TypeScript component based framework for enterprise web application
...//Simple dbgrid bounded to a query import V = require("VCL/VCL"); export class PageHome extends V.TPage { constructor() { super(); //create a backend query var qur = new V.TQuery(this); qur.SQL = "SELECT CustomerKey, FirstName, LastName FROM Customers"; qur.open(); //create a grid on the screen var grd = new V.TDBGrid(this, "grid"); grd.Dataset = qur; //bind the grid to the dataset grd.PageSize = 15; var col = grd.createColumn(“FirstName”); var col = grd.createColumn(“Lastname”,”Last Name”); } } -
17
TextProcessor
A Java package to preprocess text datasets for posterior text analysis
The TextProcessor Java package is a text processing toolkit, which provides some frequently used text processing functions such as stemming, removing stop-words, generating a term vocabulary, and calculating the term-doc frequency matrix. Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also being extended for more advanced text analysis tasks based on natural language processing techniques. -
18
Qudaich
Performs local sequence alignment for NGS data
Qudaich (queries and unique database alignment inferred by clustering homologs) is a software package for aligning sequences. Qudaich generates the pairwise local alignments between a query dataset against a database. The main design purpose of qudaich is to focus on datasets from next generation sequencing. These the datasets generally have hundreds of thousand sequences or more, and so, the input database should contain large number of sequences. Qudaich is flexible and its algorithmic structure imposes no restriction on the absolute limit of the acceptable read length, but the current version of qudaich allow read length <2000 bp. ... -
19
cd-hit
Ultrafast program for clustering large set of biological sequences
...CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has cd-hit, cd-hit-2d, cd-hit-est, cd-hit-est-2d, cd-hit-454, psi-cd-hit, cd-hit-otu, cd-hit-lap, cd-hit-dup and over a dozen scripts for various clustering needs. -
20
X-Freq
X-Ray Reflectivity Frequency Analysis
Analyze the thicknesses of a sample from an x-ray reflectivity dataset using Fourier Transform techniques. -
21
MS-AND
Identifies differentially methylated regions (DMRs)
Our approach, methylation status mask AND (MS-AND), uses bit operations and masking and can be applied to any microarray dataset in General Feature Format (GFF). -
22
This dataset deals with finding potential retweeters given a particular tweet. It contains 500 tweets and 40574 judged followers.
-
23
The Document Analysis and Exploitation Platform is a Drupal based web interface to a cloud enabled Document Analysis resource set.
-
24
PRICE de novo (meta)genome assembler
Targeted de novo assembly of (meta)genomic components
...Its name describes the strategy that it implements for genome assembly: PRICE uses paired-read information to iteratively increase the size of existing contigs. Initially, those contigs can be individual reads from a subset of the paired-read dataset, non-paired reads from sequencing technologies that provide non-paired data, or contigs that were output from a prior run of PRICE or any other assembler. PRICE was designed to address the challenge of assembling viral genomes that comprise a small minority of the reads within ultra-deep, short-read, shotgun metagenomic datasets. ... -
25
ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.