KEPACO

cca-tutorial

Worked examples

comboFM

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.

fswatch-rsync

Watches and synchronizes a local folder with a remote folder via another server over ssh

GO-LTR-prediction

Protein function prediction through latent tensor reconstruction

gradKCCA

Implementations of gradKCCA

metaCCA-matlab

msms_rt_score_integration

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

msms_rt_ssvm

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.

pairwiseMKL

pairwiseMKL package

scca-hsic

MATLAB implementation of SCCA-HSIC

aalto-ics-kepaco/fswatch-rsync

Watches and synchronizes a local folder with a remote folder via another server over ssh

aalto-ics-kepaco/comboFM

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.

aalto-ics-kepaco/cca-tutorial

Worked examples

aalto-ics-kepaco/gradKCCA

Implementations of gradKCCA

aalto-ics-kepaco/metaCCA-matlab

aalto-ics-kepaco/pairwiseMKL

pairwiseMKL package

aalto-ics-kepaco/msms_rt_score_integration

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

aalto-ics-kepaco/msms_rt_ssvm

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.

aalto-ics-kepaco/GO-LTR-prediction

Protein function prediction through latent tensor reconstruction

aalto-ics-kepaco/scca-hsic

MATLAB implementation of SCCA-HSIC

aalto-ics-kepaco/lcms2struct_exp

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.

aalto-ics-kepaco/PPIprediction-w-IOKR-MKL

aalto-ics-kepaco/retention_order_prediction

Code, Data and Results of the publication: "Liquid-Chromatography Retention Order Prediction for Metabolite Identification" by Bach et al. 2018

aalto-ics-kepaco/fingerid

Molecular fingerprint prediction from MS/MS

aalto-ics-kepaco/PMFA

Principal Metabolic Flux Mode Analysis

aalto-ics-kepaco/primal_dual_scca

Implementation of the Primal-Dual Sparse Canonical Correlation Analysis

aalto-ics-kepaco/comboKR

comboKR for predicting drug combination response surfaces

aalto-ics-kepaco/ComboLTR

aalto-ics-kepaco/L2RTA

http://hongyusu.github.io/L2RTA/

aalto-ics-kepaco/MKC

Multi-view Kernel Completion

aalto-ics-kepaco/molecular_classification

Structured output learning method for multilabel molecular activity classification problem.

aalto-ics-kepaco/softALIGNF

ALIGNF+ (soft ALIGNF) python implementation.

aalto-ics-kepaco/DeepBiosphere

aalto-ics-kepaco/MKC_software

aalto-ics-kepaco/Efficient-Discovery-of-Genome-scale-Metabolic-Pathways-for-Synthetic-Biology

aalto-ics-kepaco/GO_LTR

LTR Multiview for Gene Ontology prediction

aalto-ics-kepaco/iokr_for_metabolite_identification

Repository for the IOKR and MP-IOKR adapted to the metabolite identification problem.

aalto-ics-kepaco/LTR_Multiview

Polynomial Regression via Latent Tensor Reconstruction - Multiview version

aalto-ics-kepaco/ProjSe

Supervised variables selection by projection operators in kernel space

aalto-ics-kepaco/ProteinFunctionPrediction