aalto-ics-kepaco Goto Github PK
Name: KEPACO
Type: Organization
Bio: Kernel Machines, Pattern Analysis and Computational Metabolomics - Research group at Aalto University
Location: Espoo, Finland
Name: KEPACO
Type: Organization
Bio: Kernel Machines, Pattern Analysis and Computational Metabolomics - Research group at Aalto University
Location: Espoo, Finland
Worked examples
Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells.
comboKR for predicting drug combination response surfaces
Molecular fingerprint prediction from MS/MS
Watches and synchronizes a local folder with a remote folder via another server over ssh
Protein function prediction through latent tensor reconstruction
LTR Multiview for Gene Ontology prediction
Implementations of gradKCCA
Repository for the IOKR and MP-IOKR adapted to the metabolite identification problem.
Extracts reaction graph .mol files from standard KEGG .mol files
http://hongyusu.github.io/L2RTA/
Scripts to run the experiments and analysis for the publication "Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data" by Bach et al.
Polynomial Regression via Latent Tensor Reconstruction - Multiview version
Multi-view Kernel Completion
Structured output learning method for multilabel molecular activity classification problem.
Code, Data and Results of the publication: "Probabilistic Framework for Integration of Tandem-Mass Spectrum and Retention Time Information in Small Molecule Identification" by Bach et al. 2020
Implementation of the LC-MS²Struct model published in the manuscript "Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data" by Bach et al.
Predicting the ontology of chemical compounds
pairwiseMKL package
Principal Metabolic Flux Mode Analysis
Implementation of the Primal-Dual Sparse Canonical Correlation Analysis
Supervised variables selection by projection operators in kernel space
Code, Data and Results of the publication: "Liquid-Chromatography Retention Order Prediction for Metabolite Identification" by Bach et al. 2018
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.