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Machine Learning of Bone Marrow Histopathology Identifies Genetic and Clinical Determinants in Patients with MDS

Blood cancer discovery, 2021-05, Vol.2 (3), p.238-249

2021

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The inconvenience of data of convenience: computational research beyond post-mortem analyses

Nature methods, 2017-10, Vol.14 (10), p.937-938

2017

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A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines

Cell systems, 2017-11, Vol.5 (5), p.485-497.e3

2017

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PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use

International Journal of Proteomics, 2011-01, Vol.2011 (2011), p.121-129

2011

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Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

Nature communications, 2022-03, Vol.13 (1), p.1246-1246, Article 1246

2022

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SynergyFinder 2.0: visual analytics of multi-drug combination synergies

Nucleic acids research, 2020-07, Vol.48 (W1), p.W488-W493

2020

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SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

Nucleic acids research, 2022-07, Vol.50 (W1), p.W739-W743

2022

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What are the current challenges for machine learning in drug discovery and repurposing?

Expert opinion on drug discovery, 2022-05, Vol.17 (5), p.423-425

Aittokallio, Tero

2022

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Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

Nature communications, 2020-12, Vol.11 (1), p.6136-11, Article 6136

2020

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SynergyFinder: a web application for analyzing drug combination dose-response matrix data

Bioinformatics (Oxford, England), 2017-08, Vol.33 (15), p.2413-2415

2017

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Machine learning and feature selection for drug response prediction in precision oncology applications

Biophysical reviews, 2019-02, Vol.11 (1), p.31-39

2019

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Dealing with missing values in large-scale studies: microarray data imputation and beyond

Briefings in bioinformatics, 2010-03, Vol.11 (2), p.253-264

AITTOKALLIO, Tero

2010

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Re-defining synthetic lethality by phenotypic profiling for precision oncology

Cell chemical biology, 2021-03, Vol.28 (3), p.246-256

2021

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Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery

Expert opinion on drug discovery, 2018-02, Vol.13 (2), p.179-192

2018

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Editorial overview–Artificial intelligence methodologies in structural biology: Bridging the gap to medical applications

Current opinion in structural biology, 2024-08, Vol.87, p.102862, Article 102862

2024

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Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles

Current pharmaceutical design, 2014-01, Vol.20 (1), p.23-36

2014

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Searching for Drug Synergy in Complex Dose-Response Landscapes Using an Interaction Potency Model

Computational and structural biotechnology journal, 2015-01, Vol.13 (C), p.504-513

2015

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Artificial intelligence, machine learning, and drug repurposing in cancer

Expert opinion on drug discovery, 2021-09, Vol.16 (9), p.977-989

2021

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Resistance to immune checkpoint therapies by tumour-induced T-cell desertification and exclusion: key mechanisms, prognostication and new therapeutic opportunities

British journal of cancer, 2023-10, Vol.129 (8), p.1212-1224

2023

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Methods for High-throughput Drug Combination Screening and Synergy Scoring

Methods in molecular biology (Clifton, N.J.), 2018-01, Vol.1711, p.351

2018

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OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010333

2023

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Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

Journal of chemical information and modeling, 2014-03, Vol.54 (3), p.735-743

2014

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Target-specific compound selectivity for multi-target drug discovery and repurposing

Frontiers in pharmacology, 2022-09, Vol.13, p.1003480-1003480

2022

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DNMT Inhibitors Increase Methylation in the Cancer Genome

Frontiers in pharmacology, 2019-04, Vol.10, p.385-385

2019

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Graph-based methods for analysing networks in cell biology

Briefings in bioinformatics, 2006-09, Vol.7 (3), p.243-255

2006

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Machine Learning of Bone Marrow Histopathology Identifies Genetic and Clinical Determinants in Patients with MDS

The inconvenience of data of convenience: computational research beyond post-mortem analyses

A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines

PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use

Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

SynergyFinder 2.0: visual analytics of multi-drug combination synergies

SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

What are the current challenges for machine learning in drug discovery and repurposing?

Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

SynergyFinder: a web application for analyzing drug combination dose-response matrix data

Machine learning and feature selection for drug response prediction in precision oncology applications

Dealing with missing values in large-scale studies: microarray data imputation and beyond

Re-defining synthetic lethality by phenotypic profiling for precision oncology

Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery

Editorial overview–Artificial intelligence methodologies in structural biology: Bridging the gap to medical applications

Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles

Searching for Drug Synergy in Complex Dose-Response Landscapes Using an Interaction Potency Model

Artificial intelligence, machine learning, and drug repurposing in cancer

Resistance to immune checkpoint therapies by tumour-induced T-cell desertification and exclusion: key mechanisms, prognostication and new therapeutic opportunities

Methods for High-throughput Drug Combination Screening and Synergy Scoring

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

Target-specific compound selectivity for multi-target drug discovery and repurposing

DNMT Inhibitors Increase Methylation in the Cancer Genome

Graph-based methods for analysing networks in cell biology

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