Lista de obras - Koji Tsuda - Dominio Público Uruguay

A New Discriminative Kernel From Probabilistic Models ⬇️

A new discriminative kernel from probabilistic models

artículo científico publicado en 2002

An interpretable machine learning model for diagnosis of Alzheimer's disease

scholarly article by Diptesh Das et al published 2019 in PeerJ

Asymptotic properties of the Fisher kernel

artículo científico publicado en 2004

Bayesian optimization package: PHYSBO

scientific article published in 2022

CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data

artículo científico publicado en 2016

Clustering with the Fisher Score ⬇️

artículo científico publicado en 2003

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration

publication published on 01 September 2020

Deep-learning-based quality filtering of mechanically exfoliated 2D crystals

artículo científico publicado en 2019

Dense module enumeration in biological networks

artículo científico publicado en 2013

Discovering combinatorial interactions in survival data

artículo científico publicado en 2013

EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units

artículo científico publicado en 2010

Efficient Search for Energetically Favorable Molecular Conformations against Metastable States via Gray-Box Optimization

scientific article published on 15 July 2021

Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data

artículo científico publicado en 2009

Enumeration of condition-dependent dense modules in protein interaction networks

artículo científico publicado en 2009

Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models

artículo científico publicado en 2007

Fast protein classification with multiple networks

artículo científico publicado en 2005

Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis

scholarly article by Kota Shiba et al published 15 August 2018 in ACS sensors

Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis

scholarly article by Kota Shiba et al published 24 August 2018 in ACS sensors

Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks

scientific article published on 28 August 2020

Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study.

artículo científico publicado en 2015

Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies

artículo científico publicado en 2018

Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies

scholarly article published 2018

Image Reconstruction by Linear Programming ⬇️

artículo científico publicado en 2004

Image reconstruction by linear programming

artículo científico publicado en 2005

LAMPLINK: detection of statistically significant SNP combinations from GWAS data

artículo científico publicado en 2016

Learning kernels from biological networks by maximizing entropy

artículo científico publicado en 2004

Legendre Decomposition for Tensors ⬇️

Li-ion Conductive Li3PO4-Li3BO3-Li2SO4 Mixture: Prevision through Density Functional Molecular Dynamics and Machine Learning

scholarly article published 27 November 2018

MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms

scientific article published on 01 September 2018

Machine Learning Accelerates MD-based Binding-Pose Prediction between Ligands and Proteins

artículo científico publicado en 2017

Machine learning reveals orbital interaction in materials.

artículo científico publicado en 2017

Machine-Learning-Assisted Development and Theoretical Consideration for the Al2Fe3Si3 Thermoelectric Material

article

Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins

scholarly article by Yutaka Saito et al published 21 September 2018 in ACS Synthetic Biology

Machine-learning prediction of the d-band center for metals and bimetals

scholarly article by Ichigaku Takigawa et al published 2016 in RSC Advances

Marginalized kernels for RNA sequence data analysis

artículo científico publicado el 1 de enero de 2002

Marginalized kernels for biological sequences

artículo científico publicado en 2002

Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection ⬇️

Mining expression-dependent modules in the human interaction network.

artículo científico publicado en 2007

Mining frequent stem patterns from unaligned RNA sequences

artículo científico publicado en 2006

Modeling splicing sites with pairwise correlations

artículo científico publicado en 2002

NIPS workshop on New Problems and Methods in Computational Biology

artículo científico publicado en 2007

On the performance of methods for finding a switching mechanism in gene expression.

artículo científico publicado en 2010

PDB‐scale analysis of known and putative ligand‐binding sites with structural sketches ⬇️

artículo científico publicado el 24 de noviembre de 2011

PoSSuM: a database of similar protein-ligand binding and putative pockets ⬇️

artículo científico publicado el 1 de diciembre de 2011

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries

Privacy-preserving search for chemical compound databases.

artículo científico publicado en 2015

Protein functional class prediction with a combined graph

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization

scientific article published in 2022

RNA inverse folding using Monte Carlo tree search

artículo científico publicado en 2017

ROS-DET: robust detector of switching mechanisms in gene expression ⬇️

artículo científico publicado el 1 de abril de 2011

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism

artículo científico publicado en 2010

SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments

artículo científico publicado en 2006

Selective integration of multiple biological data for supervised network inference

artículo científico publicado en 2005

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach

artículo científico publicado en 2009

SketchSort: Fast All Pairs Similarity Search for Large Databases of Molecular Fingerprints

artículo científico publicado en 2011

SlideSort: all pairs similarity search for short reads ⬇️

artículo científico publicado el 9 de diciembre de 2010

Sparse modeling of EELS and EDX spectral imaging data by nonnegative matrix factorization

artículo científico publicado en 2016

Statistical significance of combinatorial regulations ⬇️

artículo científico publicado el 23 de julio de 2013

Structure prediction of boron-doped graphene by machine learning

artículo científico publicado en 2018

Submodularity Cuts and Applications ⬇️

artículo científico publicado en 2009

The DICS repository: module-assisted analysis of disease-related gene lists

article

Ultranarrow-Band Wavelength-Selective Thermal Emission with Aperiodic Multilayered Metamaterials Designed by Bayesian Optimization

artículo científico publicado en 2019

evERdock BAI: Machine-learning-guided selection of protein-protein complex structure

artículo científico publicado en 2019

Lista de obras de Koji Tsuda

A New Discriminative Kernel From Probabilistic Models ⬇️

A new discriminative kernel from probabilistic models

An interpretable machine learning model for diagnosis of Alzheimer's disease

Asymptotic properties of the Fisher kernel

Bayesian optimization package: PHYSBO

CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data

Clustering with the Fisher Score ⬇️

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration

Deep-learning-based quality filtering of mechanically exfoliated 2D crystals

Dense module enumeration in biological networks

Discovering combinatorial interactions in survival data

EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units

Efficient Search for Energetically Favorable Molecular Conformations against Metastable States via Gray-Box Optimization

Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data

Enumeration of condition-dependent dense modules in protein interaction networks

Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models

Fast protein classification with multiple networks

Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis

Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis

Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks

Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study.

Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies

Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies

Image Reconstruction by Linear Programming ⬇️

Image reconstruction by linear programming

LAMPLINK: detection of statistically significant SNP combinations from GWAS data

Learning kernels from biological networks by maximizing entropy

Legendre Decomposition for Tensors ⬇️

Li-ion Conductive Li3PO4-Li3BO3-Li2SO4 Mixture: Prevision through Density Functional Molecular Dynamics and Machine Learning

MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms

Machine Learning Accelerates MD-based Binding-Pose Prediction between Ligands and Proteins

Machine learning reveals orbital interaction in materials.

Machine-Learning-Assisted Development and Theoretical Consideration for the Al2Fe3Si3 Thermoelectric Material

Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins

Machine-learning prediction of the d-band center for metals and bimetals

Marginalized kernels for RNA sequence data analysis

Marginalized kernels for biological sequences

Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection ⬇️

Mining expression-dependent modules in the human interaction network.

Mining frequent stem patterns from unaligned RNA sequences

Modeling splicing sites with pairwise correlations

NIPS workshop on New Problems and Methods in Computational Biology

On the performance of methods for finding a switching mechanism in gene expression.

PDB‐scale analysis of known and putative ligand‐binding sites with structural sketches ⬇️

PoSSuM: a database of similar protein-ligand binding and putative pockets ⬇️

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries

Privacy-preserving search for chemical compound databases.

Protein functional class prediction with a combined graph

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization

RNA inverse folding using Monte Carlo tree search

ROS-DET: robust detector of switching mechanisms in gene expression ⬇️

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism

SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments

Selective integration of multiple biological data for supervised network inference

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach

SketchSort: Fast All Pairs Similarity Search for Large Databases of Molecular Fingerprints

SlideSort: all pairs similarity search for short reads ⬇️

Sparse modeling of EELS and EDX spectral imaging data by nonnegative matrix factorization

Statistical significance of combinatorial regulations ⬇️

Structure prediction of boron-doped graphene by machine learning

Submodularity Cuts and Applications ⬇️

The DICS repository: module-assisted analysis of disease-related gene lists

Ultranarrow-Band Wavelength-Selective Thermal Emission with Aperiodic Multilayered Metamaterials Designed by Bayesian Optimization

evERdock BAI: Machine-learning-guided selection of protein-protein complex structure