Rainer Spang

Regensburg University of Applied Sciences — Germany

Biochemistry, Genetics and Molecular Biology · Life Sciences

51h-index13.3kcitations296works2.22yr avg
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Research Topics

Gene expression and cancer classification(53), Lymphoma Diagnosis and Treatment(52), Bioinformatics and Genomic Networks(38), Cancer Cells and Metastasis(32), Chronic Lymphocytic Leukemia Research(19)

Publications295 total

A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
arXiv (Cornell University)·2025Open Access
Integration of high-throughput proteomic data and complementary omics layers with PriOmics
Genome Research·2025Open Access
<tt> <b>mhn</b> </tt> : a Python package for analyzing cancer progression with Mutual Hazard Networks
Bioinformatics Advances·2025· 1 citedOpen Access
Lipid metabolism of clear cell renal cell carcinoma predicts survival and affects intratumoral CD8 T cells
Translational Oncology·2025· 3 citedOpen Access
Harp: data harmonization for computational tissue deconvolution across diverse transcriptomics platforms
Bioinformatics·2025Open Access
Harp: Platform Independent Deconvolution Tool
2025Open Access
AI in Precision Medicine
KI - Künstliche Intelligenz·2025· 1 citedOpen Access
Restricting datasets to classifiable samples allows prediction of immune checkpoint blockade-related hepatitis
Zeitschrift für Gastroenterologie·2025
Virtual tissue expression analysis
Bioinformatics·2024· 5 citedOpen Access
Correcting for Observation Bias in Cancer Progression Modeling
Journal of Computational Biology·2024· 1 cited
Taming numerical imprecision by adapting the KL divergence to negative probabilities
Statistics and Computing·2024· 3 citedOpen Access
Modeling metastatic progression from cross-sectional cancer genomics data
Bioinformatics·2024· 5 citedOpen Access
Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Nature Communications·2024· 10 citedOpen Access
Taming numerical imprecision by adapting the KL divergence to negative probabilities
2024Open Access
Modeling metastatic progression from cross-sectional cancer genomics data
2024Open Access
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models
Computational Statistics·2024· 1 citedOpen Access
Virtual Tissues of DLBCL lymphomas
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
dabih -- encrypted data storage and sharing platform
arXiv (Cornell University)·2024Open Access
Reconstructing Disease Histories in Huge Discrete State Spaces
KI - Künstliche Intelligenz·2024· 11 citedOpen Access
Overcoming Observation Bias for Cancer Progression Modeling
Lecture notes in computer science·2024· 3 cited
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Frequent Co-authors

Wolfram Klapper(12), Michael Hummel(11), Swen Weßendorf(9), Lorenz Trümper(9), Reiner Siebert(9), Carsten Schwäenen(8), Peter J. Oefner(8), Stefan Bentink(7), Monika Szczepanowski(7), Markus Loeffler(7), Harald Stein(7), Markus Kreuz(7), Maciej Rosołowski(7), Christian Köhler(6), Hilmar Berger(5), Dirk Hasenclever(5), German Ott(5), Claudio Lottaz(5), Ralf Küppers(5), Dido Lenze(4)