Jovan Tanevski

About Jovan Tanevski

Jovan Tanevski, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Computational Biomedicine, Machine Learning, Computational Scientific Discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning tissue representation by identification of persistent local patterns in spatial omics data

Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations

DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

LIANA+: an all-in-one cell-cell communication framework

Best practices for single-cell analysis across modalities

Intratumoral heterogeneity in human hepatocellular carcinoma–a protein-based approach

Spatial multi-omic map of human myocardial infarction

Jovan Tanevski Information

University

Position

& Hospital Germany; Jožef Stefan Institute Slovenia

Citations(all)

969

Citations(since 2020)

945

Cited By

121

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Ruprecht-Karls-Universität Heidelberg

Google Scholar

View Google Scholar Profile

Jovan Tanevski Skills & Research Interests

Computational Biomedicine

Machine Learning

Computational Scientific Discovery

Top articles of Jovan Tanevski

Title

Journal

Author(s)

Publication Date

Learning tissue representation by identification of persistent local patterns in spatial omics data

bioRxiv

Jovan Tanevski

Loan Vulliard

Felix Hartmann

Julio Saez-Rodriguez

2024

Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations

Machine Learning

Jure Brence

Jovan Tanevski

Jennifer Adams

Edward Malina

Sašo Džeroski

2023/4

DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

arXiv preprint arXiv:2301.01682

Arezou Rahimi

Luis A Vale-Silva

Maria Faelth Savitski

Jovan Tanevski

Julio Saez-Rodriguez

2023/1/4

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

bioRxiv

Victor Paton

Attila Gabor

Ricardo Omar Ramirez Flores

Pau Badia-i-Mompel

Jovan Tanevski

...

2023

LIANA+: an all-in-one cell-cell communication framework

BioRxiv

Daniel Dimitrov

Philipp Sven Lars Schäfer

Elias Farr

Pablo Rodriguez Mier

Sebastian Lobentanzer

...

2023

Best practices for single-cell analysis across modalities

Lukas Heumos

Anna C Schaar

Christopher Lance

Anastasia Litinetskaya

Felix Drost

...

2023/8

Intratumoral heterogeneity in human hepatocellular carcinoma–a protein-based approach

Zeitschrift für Gastroenterologie

Thomas Ritz

Jana Baues

Oliver Krenkel

Jovan Tanevski

Julio Saez-Rodriguez

...

2023/1

Spatial multi-omic map of human myocardial infarction

Nature

Christoph Kuppe

Ricardo O Ramirez Flores

Zhijian Li

Sikander Hayat

Rebecca T Levinson

...

2022/8/25

Explainable multiview framework for dissecting spatial relationships from highly multiplexed data

Genome biology

Jovan Tanevski

Ricardo Omar Ramirez Flores

Attila Gabor

Denis Schapiro

Julio Saez-Rodriguez

2022/4/14

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Molecular systems biology

Attila Gabor

Marco Tognetti

Alice Driessen

Jovan Tanevski

Baosen Guo

...

2021/10

Deep spatial profiling of human COVID-19 brains reveals neuroinflammation with distinct microanatomical microglia-T-cell interactions

Immunity

Marius Schwabenland

Henrike Salié

Jovan Tanevski

Saskia Killmer

Marilyn Salvat Lago

...

2021/7/13

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

Life Science Alliance

Jovan Tanevski

Thin Nguyen

Buu Truong

Nikos Karaiskos

Mehmet Eren Ahsen

...

2020/11/1

Learning surrogates of a radiative transfer model for the sentinel 5p satellite

Jure Brence

Jovan Tanevski

Jennifer Adams

Edward Malina

Sašo Džeroski

2020/10/15

Multi-level information fusion for learning a blood pressure predictive model using sensor data

Information Fusion

Monika Simjanoska

Stefan Kochev

Jovan Tanevski

Ana Madevska Bogdanova

Gregor Papa

...

2020/6/1

Predictive model for the quantitative analysis of human skin using photothermal radiometry and diffuse reflectance spectroscopy

Biomedical Optics Express

Nina Verdel

Jovan Tanevski

Sašo Džeroski

Boris Majaron

2020/3/1

Combinatorial search for selecting the structure of models of dynamical systems with equation discovery

Engineering Applications of Artificial Intelligence

Jovan Tanevski

Ljupčo Todorovski

Sašo Džeroski

2020/3/1

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Genome biology

Christian H Holland

Jovan Tanevski

Javier Perales-Patón

Jan Gleixner

Manu P Kumar

...

2020/12

See List of Professors in Jovan Tanevski University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

H-index: 84
Julio Saez Rodriguez

Julio Saez Rodriguez

Ruprecht-Karls-Universität Heidelberg

H-index: 32
Ljupco Todorovski

Ljupco Todorovski

Univerza v Ljubljani

H-index: 15
Bence Szalai

Bence Szalai

Semmelweis Egyetem

H-index: 12
Christian Holland

Christian Holland

Ruprecht-Karls-Universität Heidelberg

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