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Predicting functional effects of ion channel variants using new phenotypic machine learning methods

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010959-e1010959

2023

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The AIMe registry for artificial intelligence in biomedical research

Nature methods, 2021-10, Vol.18 (10), p.1128-1131

2021

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Kinetics and correlates of the neutralizing antibody response to SARS-CoV-2 infection in humans

Cell host & microbe, 2021-06, Vol.29 (6), p.917-929.e4

2021

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Genetic sequence-based prediction of long-range chromatin interactions suggests a potential role of short tandem repeat sequences in genome organization

BMC bioinformatics, 2017-04, Vol.18 (1), p.218-218, Article 218

2017

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Evaluation of a Rapid Antigen Test To Detect SARS-CoV-2 Infection and Identify Potentially Infectious Individuals

Journal of clinical microbiology, 2021-08, Vol.59 (9), p.e0089621-e0089621

2021

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Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data

Scientific reports, 2023-10, Vol.13 (1), p.17216-17216, Article 17216

2023

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OpenMS - an open-source software framework for mass spectrometry

BMC bioinformatics, 2008-03, Vol.9 (1), p.163-163, Article 163

2008

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Machine learning prediction of malaria vaccine efficacy based on antibody profiles

PLoS computational biology, 2024-06, Vol.20 (6), p.e1012131

2024

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Improving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data

Bioinformatics, 2012-09, Vol.28 (18), p.i589-i595

2012

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TOPP—the OpenMS proteomics pipeline

Bioinformatics, 2007-01, Vol.23 (2), p.e191-e197

2007

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Widespread Impact of HLA Restriction on Immune Control and Escape Pathways of HIV-1

Journal of Virology, 2012-05, Vol.86 (9), p.5230-5243

2012

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EuCARE-POSTCOVID Study: a multicentre cohort study on long-term post-COVID-19 manifestations

BMC infectious diseases, 2023-10, Vol.23 (1), p.1-684, Article 684

2023

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EuCARE-hospitalised study protocol: a cohort study of patients hospitalised with COVID-19 in the EuCARE project

BMC infectious diseases, 2023-10, Vol.23 (1), p.1-690, Article 690

2023

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SARS-CoV-2 trends in Italy, Germany and Portugal and school opening during the period of Omicron variant dominance: A quasi experimental study in the EuCARE project

International journal of infectious diseases, 2024-01, Vol.138, p.63-72

2024

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Correlates of Protective Cellular Immunity Revealed by Analysis of Population-Level Immune Escape Pathways in HIV-1

Journal of Virology, 2012-12, Vol.86 (24), p.13202-13216

2012

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Predicting the functional effects of voltage-gated potassium channel missense variants with multi-task learning

EBioMedicine, 2022-07, Vol.81, p.104115, Article 104115

2022

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A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis

Scientific data, 2024-06, Vol.11 (1), p.663-20, Article 663

2024

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Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics

BMC bioinformatics, 2007-11, Vol.8 (1), p.468-468, Article 468

2007

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Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples

Journal of integrative bioinformatics, 2017-07, Vol.14 (2), p.1268-72

2017

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A dynamic time‐to‐event model for prediction of acute graft‐versus‐host disease in patients after allogeneic hematopoietic stem cell transplantation

Cancer medicine (Malden, MA), 2024-01, Vol.13 (1), p.e6833-n/a

2024

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Distinct HIV-1 Escape Patterns Selected by Cytotoxic T Cells with Identical Epitope Specificity

Journal of Virology, 2013-02, Vol.87 (4), p.2253-2263

2013

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Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery

Bioinformatics (Oxford, England), 2015-06, Vol.31 (12), p.i268-i275

2015

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LC-MSsim--a simulation software for liquid chromatography mass spectrometry data

BMC bioinformatics, 2008-10, Vol.9 (1), p.423-423, Article 423

2008

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Longitudinal Isolation of Potent Near-Germline SARS-CoV-2-Neutralizing Antibodies from COVID-19 Patients

Predicting functional effects of ion channel variants using new phenotypic machine learning methods

The AIMe registry for artificial intelligence in biomedical research

Kinetics and correlates of the neutralizing antibody response to SARS-CoV-2 infection in humans

Genetic sequence-based prediction of long-range chromatin interactions suggests a potential role of short tandem repeat sequences in genome organization

Evaluation of a Rapid Antigen Test To Detect SARS-CoV-2 Infection and Identify Potentially Infectious Individuals

Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data

OpenMS - an open-source software framework for mass spectrometry

Machine learning prediction of malaria vaccine efficacy based on antibody profiles

Improving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data

Longitudinal Isolation of Potent Near-Germline SARS-CoV-2-Neutralizing Antibodies from COVID-19 Patients

TOPP—the OpenMS proteomics pipeline

Widespread Impact of HLA Restriction on Immune Control and Escape Pathways of HIV-1

EuCARE-POSTCOVID Study: a multicentre cohort study on long-term post-COVID-19 manifestations

EuCARE-hospitalised study protocol: a cohort study of patients hospitalised with COVID-19 in the EuCARE project

SARS-CoV-2 trends in Italy, Germany and Portugal and school opening during the period of Omicron variant dominance: A quasi experimental study in the EuCARE project

Correlates of Protective Cellular Immunity Revealed by Analysis of Population-Level Immune Escape Pathways in HIV-1

Predicting the functional effects of voltage-gated potassium channel missense variants with multi-task learning

A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis

Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics

Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples

A dynamic time‐to‐event model for prediction of acute graft‐versus‐host disease in patients after allogeneic hematopoietic stem cell transplantation

Distinct HIV-1 Escape Patterns Selected by Cytotoxic T Cells with Identical Epitope Specificity

Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery

LC-MSsim--a simulation software for liquid chromatography mass spectrometry data

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