Liesbeth Minnoye

VIB-KU Leuven Center for Brain & Disease Research — Belgium

Biochemistry, Genetics and Molecular Biology · Life Sciences

10h-index1.5kcitations17works0.02yr avg
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Research Topics

Epigenetics and DNA Methylation(9), Genomics and Chromatin Dynamics(8), Single-cell and spatial transcriptomics(6), Cancer, Hypoxia, and Metabolism(5), RNA modifications and cancer(5)

Publications17 total

Author response: Analysis of long and short enhancers in melanoma cell states
2021Open Access
Analysis of long and short enhancers in melanoma cell states
2021· 2 citedOpen Access
Interpretation of allele-specific chromatin accessibility using cell state–aware deep learning
Genome Research·2021· 52 citedOpen Access
Chromatin accessibility profiling methods
Nature Reviews Methods Primers·2021· 207 citedOpen Access
Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma
Nature Cell Biology·2020· 271 citedOpen Access
Cross-species analysis of enhancer logic using deep learning
Genome Research·2020· 125 citedOpen Access
DNA methylation repels binding of hypoxia-inducible transcription factors to maintain tumor immunotolerance
Genome biology·2020· 66 citedOpen Access
DNA Methylation Repels Binding of HIF Transcription Factors to Maintain Tumour Immunotolerance
2020· 3 citedOpen Access
Additional file 3 of DNA methylation repels binding of hypoxia-inducible transcription factors to maintain tumor immunotolerance
Figshare·2020Open Access
Additional file 4 of DNA methylation repels binding of hypoxia-inducible transcription factors to maintain tumor immunotolerance
Figshare·2020Open Access
Additional file 2 of DNA methylation repels binding of hypoxia-inducible transcription factors to maintain tumor immunotolerance
Figshare·2020Open Access
Cross-species analysis of melanoma enhancer logic using deep learning
2019· 14 citedOpen Access
Prioritization of enhancer mutations by combining allele-specific chromatin accessibility with deep learning
2019· 2 citedOpen Access
Single-cell gene regulatory network analysis reveals new melanoma cell states and transition trajectories during phenotype switching
2019· 12 citedOpen Access
cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data
Nature Methods·2019· 505 citedOpen Access
<i>Cis-topic</i> modelling of single-cell epigenomes
2018· 13 citedOpen Access
Mapping gene regulatory networks from single-cell omics data
Briefings in Functional Genomics·2017· 244 citedOpen Access

Frequent Co-authors

Stein Aerts(12), Valerie Christiaens(10), Jasper Wouters(10), Gert Hulselmans(8), David Mauduit(8), Ibrahim Ihsan Taskiran(6), Carmen Bravo González‐Blas(5), Zeynep Kalender Atak(5), Flora D’Anna(5), Laurien Van Dyck(5), Jieyi Xiong(5), Rebecca V. Berrens(5), Paweł Bieniasz-Krzywiec(5), Vikas Chandra(5), Luc Schoonjans(5), Jason Matthews(5), Julie De Smedt(5), Ricardo Amorim(5), Sepideh Khorasanizadeh(5), Marie De Borre(5)