O. Zolotareva

发表

BDKANN – Biological Domain Knowledge-based Artificial Neural Network for drug response prediction

Mark Lee, Martin Ester, Oliver Snow, 2019, bioRxiv.

AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics

C. Collins, Martin Ester, Hossein Sharifi-Noghabi, 2020, bioRxiv.

Identification of Differentially Expressed Gene Modules in Heterogeneous Diseases

Martin Ester, O. Zolotareva, Sahand Khakabimamaghani, 2020, bioRxiv.

Antigen receptor repertoire profiling from RNA-seq data

Mikhail Shugay, Ton N Schumacher, Dmitriy A Bolotin, 2017, Nature Biotechnology.

Whole exome sequencing links dental tumor to an autosomal-dominant mutation in ANO5 gene associated with gnathodiaphyseal dysplasia and muscle dystrophies

E. Rogaev, O. Zolotareva, T. Borodina, 2016, Scientific Reports.

Adversarial Inductive Transfer Learning with input and output space adaptation

Martin Ester, Hossein Sharifi-Noghabi, Shuman Peng, 2019 .

A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases

Maren Kleine, Olga Zolotareva, O. Zolotareva, 2019, J. Integr. Bioinform..

Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases

Ralf Hofestädt, Vladimir A. Ivanisenko, Olga V. Saik, 2018, J. Integr. Bioinform..

Comorbidity of asthma and hypertension may be mediated by shared genetic dysregulation and drug side effects

I. A. Goncharova, O. Zolotareva, R. Hofestädt, 2019, Scientific Reports.

AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics

Martin Ester, Hossein Sharifi-Noghabi, Shuman Peng, 2020, bioRxiv.

Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks

Vladimir A. Ivanisenko, Timofey V. Ivanisenko, Olga V. Saik, 2018, BMC Medical Genomics.

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond pdf

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Tobias Frisch, 2021, ArXiv.

Out-of-Distribution Generalization from Labeled and Unlabeled Gene Expression Data for Drug Response Prediction

Martin Ester, Hossein Sharifi-Noghabi, Colin C. Collins, 2021, bioRxiv.

MOLI: multi-omics late integration with deep neural networks for drug response prediction

C. Collins, Hossein Sharifi-Noghabi, O. Zolotareva, 2019, bioRxiv.

Interpretable Drug Response Prediction using a Knowledge-based Neural Network

Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, 2021, KDD.

The AIMe registry for artificial intelligence in biomedical research

David B. Blumenthal, Julian O. Matschinske, T. Kacprowski, 2021, Nature Methods.

Robotic QM/MM-driven maturation of antibody combining sites

Matthias Wilmanns, Richard A Lerner, R. Lerner, 2016, Science Advances.

Flimma: a federated and privacy-preserving tool for differential gene expression analysis.

David B. Blumenthal, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, 2020, 2010.16403.

Identification Of Differentially Expressed Gene Modules In Heterogeneous Diseases.

Martin Ester, Sahand Khakabimamaghani, Olga I. Zolotareva, 2020, Bioinformatics.

Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature

Ralf Hofestädt, Vladimir A. Ivanisenko, Pavel Demenkov, 2018, J. Integr. Bioinform..