Pan-cancer identification of the relationship of metabolism-related differentially expressed transcription regulation with non-differentially expressed target genes via a …

M Duan, Y Wang, Y Qiao, Y Wang, X Pan, Z Hu… - Computers in Biology …, 2022 - Elsevier
The transcriptome describes the expression of all genes in a sample. Most studies have
investigated the differential patterns or discrimination powers of transcript expression levels …

Unique and assay specific features of NOMe-, ATAC-and DNase I-seq data

KJV Nordström, F Schmidt, N Gasparoni… - Nucleic acids …, 2019 - academic.oup.com
Chromatin accessibility maps are important for the functional interpretation of the genome.
Here, we systematically analysed assay specific differences between DNase I-seq, ATAC …

Integrative prediction of gene expression with chromatin accessibility and conformation data

F Schmidt, F Kern, MH Schulz - Epigenetics & chromatin, 2020 - Springer
Background Enhancers play a fundamental role in orchestrating cell state and development.
Although several methods have been developed to identify enhancers, linking them to their …

The adapted Activity-By-Contact model for enhancer–gene assignment and its application to single-cell data

D Hecker, F Behjati Ardakani, A Karollus… - …, 2023 - academic.oup.com
Motivation Identifying regulatory regions in the genome is of great interest for understanding
the epigenomic landscape in cells. One fundamental challenge in this context is to find the …

Integrative analysis of epigenetics data identifies gene-specific regulatory elements

F Schmidt, A Marx, N Baumgarten, M Hebel… - Nucleic acids …, 2021 - academic.oup.com
Understanding how epigenetic variation in non-coding regions is involved in distal gene-
expression regulation is an important problem. Regulatory regions can be associated to …

[PDF][PDF] Prediction of single-cell gene expression for transcription factor analysis

F Behjati Ardakani, K Kattler, T Heinen, F Schmidt… - …, 2020 - academic.oup.com
Background Single-cell RNA sequencing is a powerful technology to discover new cell types
and study biological processes in complex biological samples. A current challenge is to …

NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

S Perna, P Pinoli, S Ceri, L Wong - Biology direct, 2020 - Springer
Background Inferring the mechanisms that drive transcriptional regulation is of great interest
to biologists. Generally, methods that predict physical interactions between transcription …

xcore: an R package for inference of gene expression regulators

M Migdał, T Arakawa, S Takizawa, M Furuno… - BMC …, 2023 - Springer
Abstract Background Elucidating the Transcription Factors (TFs) that drive the gene
expression changes in a given experiment is a common question asked by researchers. The …

CpG content-dependent associations between transcription factors and histone modifications

J Fischer, FB Ardakani, K Kattler, J Walter, MH Schulz - Plos one, 2021 - journals.plos.org
Understanding the factors that underlie the epigenetic regulation of genes is crucial to
understand the gene regulatory machinery as a whole. Several experimental and …

[PDF][PDF] The adapted Activity-By-Contact-model for enhancer-gene assignment and its combination with transcription factor affinities in single cell data

D Hecker, FB Ardakani, MH Schulz - scholar.archive.org
Identifying regulatory regions in the genome is of great interest for understanding the
epigenomic landscape in cells. One fundamental challenge in this context is to find the …