Olga I. Zolotareva

According to our database, Olga I. Zolotareva authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Cancer driver drug interaction explorer.

Michael Hartung, Elisa Anastasi, Zeinab M. Mamdouh, Cristian Nogales, Harald H. H. W. Schmidt, Jan Baumbach, Olga I. Zolotareva, Markus List

Nucleic Acids Res., 2022

Federated Random Forests can improve local performance of predictive models for various healthcare applications.

Anne-Christin Hauschild, Marta Lemanczyk, Julian O. Matschinske, Tobias Frisch, Olga I. Zolotareva, Andreas Holzinger, Jan Baumbach, Dominik Heider

Bioinform., 2022

2021

Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction.

Hossein Sharifi-Noghabi, Parsa Alamzadeh Harjandi, Olga I. Zolotareva, Colin C. Collins, Martin Ester

Nat. Mach. Intell., 2021

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

Julian O. Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga I. Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus D. Bloice, Nina C. Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald H. H. W. Schmidt, Christof Tschohl, Nina Kerstin Wenke, Jan Baumbach

CoRR, 2021

Identification of differentially expressed gene modules in heterogeneous diseases.

Olga I. Zolotareva, Sahand Khakabimamaghani, Olga I Isaeva, Zoe Chervontseva, Alexey Savchik, Martin Ester

Bioinform., 2021

Interpretable Drug Response Prediction using a Knowledge-based Neural Network.

Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

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

Hossein Sharifi-Noghabi, Shuman Peng, Olga I. Zolotareva, Colin C. Collins, Martin Ester

Bioinform., 2020

2019

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

Olga I. Zolotareva, Maren Kleine

J. Integr. Bioinform., 2019

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

Hossein Sharifi-Noghabi, Olga I. Zolotareva, Colin C. Collins, Martin Ester

Bioinform., 2019

2018

GenCoNet - A Graph Database for the Analysis of Comorbidities by Gene Networks.

Alban Shoshi, Ralf Hofestädt, Olga I. Zolotareva, Marcel Friedrichs, Alex Maier, Vladimir A. Ivanisenko, Victor E. Dosenko, Elena Yu. Bragina

J. Integr. Bioinform., 2018

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

Olga V. Saik, Pavel S. Demenkov, Timofey V. Ivanisenko, Elena Yu. Bragina, Maxim B. Freidin, Victor E. Dosenko, Olga I. Zolotareva, Evgeniy L. Choynzonov, Ralf Hofestädt, Vladimir A. Ivanisenko

J. Integr. Bioinform., 2018

Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases.

Elena Yu. Bragina, Irina A. Goncharova, Anna F. Garaeva, Evgeniy V. Nemerov, Anastasija A. Babovskaya, Andrey B. Karpov, Yulia V. Semenova, Irina Z. Zhalsanova, Densema E. Gomboeva, Olga V. Saik, Olga I. Zolotareva, Vladimir A. Ivanisenko, Victor E. Dosenko, Ralf Hofestädt, Maxim B. Freidin

J. Integr. Bioinform., 2018