Topic: quantification Goto Github
Some thing interesting about quantification
Some thing interesting about quantification
quantification,QuantificationLib is an open-source library for quantification learning.
Organization: aicgijon
Home Page: https://aicgijon.github.io/quantificationlib/
quantification,Package ‘photobiology’ defines a system of classes for storing spectral data and accompanying methods and operators. This is the core of a suite of R packages for photobiological calculations.
User: aphalo
quantification,Absolute quantification package based on quantms.io
Organization: bigbio
Home Page: https://quantms.org
quantification,:link: A TenderMint blockchain API to make collaborative work measurable & quantifiable
User: bkrem
quantification,A Python library which provides a collection of tools for the measurement, quantification, and visualization of neuron morphology.
Organization: cai-lab-at-university-of-michigan
Home Page: https://ngauge.readthedocs.io/en/latest/
quantification,🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
Organization: combine-lab
Home Page: https://alevin-fry.readthedocs.io
quantification,🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Organization: combine-lab
Home Page: https://combine-lab.github.io/salmon
quantification,ORF Quantification pipeline for Alternative Splicing
Organization: comprna
Home Page: https://github.com/comprna/ORQAS
quantification,Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
User: cpanse
Home Page: https://CRAN.R-project.org/package=protViz
quantification,Quantitative Image Analysis in C++, MATLAB and Python
Organization: diplib
Home Page: https://diplib.org
quantification,The code of a hierarchical K-means clustering method in the article “Hierarchical K-means clustering method for accelerated lorentzian estimation (KALE) in chemical exchange saturation transfer-magnetic resonance imaging quantification”.
User: easycest
quantification,#GliaMorph - Toolkit to Process and Analyse Müller Glia Morphology
User: elisabethkugler
Home Page: https://www.elisabethkugler.com/
quantification,#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
User: elisabethkugler
Home Page: https://www.elisabethkugler.com/
quantification,DeltaE is a pure-Rust implementation of the CIEDE2000 algorithm
User: elliotekj
Home Page: https://crates.io/crates/delta_e
quantification,flameplot is a python package for the quantification of local similarity across two maps or embeddings.
User: erdogant
Home Page: https://github.com/erdogant/flameplot
quantification,In this project, we demonstrate the fractal dimension (FD) and manual segmentation of the Magnetic Resonance Imaging (MRI) of the heart that quantify amount of trabeculae inside the heart.
User: fitushar
quantification,A framework for Quantification written in Python
Organization: hlt-isti
quantification,A tool for domain based annotation with databases from the Conserved Domains Database
User: iquasere
quantification,Color quantification| reduction using firefly algorithm
User: ivancarras
quantification,Quantification of qualitative survey data
User: jsugarelli
quantification,MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant
User: lambda-science
Home Page: https://lbgi.fr/MyoQuant
quantification,Quantitative Universal Option Prioritizer
Organization: lbnl-eta
quantification,A pipeline to assess the quantification of transcripts.
User: lweasel
Home Page: http://piquant.readthedocs.org/en/latest/
quantification,Fast and accurate label-free quantification for small and very large numbers of proteomes
Organization: mannlabs
Home Page: https://doi.org/10.1101/2023.02.17.528962
quantification,A R package to apply the climate reconstruction CREST.
User: mchevalier2
Home Page: https://mchevalier2.github.io/crestr/
quantification,A highly customizable framework to quantify a pull request within a repository context.
Organization: microsoft
quantification,Verification, Validation, Uncertainty Quantification and Qualification Project
User: mohitisrani
quantification,Analysis of Dual RNA-seq data - an experimental method for interrogating host-pathogen interactions through simultaneous RNA-seq.
Organization: nf-core
Home Page: https://nf-co.re/dualrnaseq
quantification,Pre-processing of mass spectrometry-based metabolomics data with quantification and identification based on MS1 and MS2 data.
Organization: nf-core
Home Page: https://nf-co.re/metaboigniter
quantification,Assessing the purity of single cell population
User: paulingliu
quantification,RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.
Organization: pavlidislab
quantification,Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
Organization: pinellolab
quantification,Discovering known and novel miRNAs from small RNA sequencing data
Organization: rajewsky-lab
quantification,Transfer text datas by sine audio signal
User: ricofehr
quantification,Pipeline for RNA-seq analysis
User: rohitsuratekar
quantification,Repo accompanying our manuscript on quantifying extra-nuclear inserts from population-level low-pass sequencing data
Organization: sbcsnicholslab
quantification,Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.
User: scaramir
quantification,Tissue segmentation and quantification on histopathological images
User: serian1992
quantification,CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.
Organization: shm-unesp
quantification,Python interface to detect and quantify intranuclear proteins
User: silmon
quantification,Ultra-fast label-free quantification algorithm for mass-spectrometry proteomics
Organization: smith-chem-wisc
quantification,Construction, quantification, and visualization of proteoform families
Organization: smith-chem-wisc
Home Page: https://smith-chem-wisc.github.io/ProteoformSuite/
quantification,🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system
User: snimmagadda1
quantification,获取**国家统计局网站数据。
User: songjian
Home Page: https://pypi.org/project/cn-stats/
quantification,[IEEE-JBHI 2020] TensorFlow/Keras implementation: Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
User: sulaimanvesal
quantification,An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.
Organization: theislab
quantification,EELSAnalyser is a EELS data analysis tool written in MATLAB. Contact : [email protected]
User: vcangadi1
quantification,A MATLAB-based aircraft noise processor and analyser aimed at Quantifying Noise Annoyance of aircrafts on the basis of different metrics
User: vguillet
quantification,Pruning and quantization for SSD. Model compression.
User: xu-peng-tao
quantification,EpiProfile 2.0: A Computational Platform for Processing Epi-Proteomics Mass Spectrometry Data
User: zfyuan
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.