Markus List

Latest

• BALSAM—An Interactive Online Platform for Breath Analysis, Visualization and Classification
• Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes
• PTPN2 Deficiency Enhances Programmed T Cell Expansion and Survival Capacity of Activated T Cells
• Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing
• EpiRegio: analysis and retrieval of regulatory elements linked to genes
• Mechanistic Modeling and Multiscale Applications for Precision Medicine: Theory and Practice
• Mass-spectrometry-based draft of the Arabidopsis proteome
• BiCoN: Network-constrained biclustering of patients and omics data
• De Novo Pathway Enrichment with KeyPathwayMiner
• De Novo Pathway-Based Classification of Breast Cancer Subtypes
• EpiGEN: an epistasis simulation pipeline
• Immunedeconv: An R Package for Unified Access to Computational Methods for Estimating Immune Cell Fractions from Bulk RNA-Sequencing Data
• In Silico Cell-Type Deconvolution Methods in Cancer Immunotherapy
• Quantitative comparison of within-sample heterogeneity scores for DNA methylation data
• The mRNA-binding Protein TTP/ZFP36 in Hepatocarcinogenesis and Hepatocellular Carcinoma
• BioAtlas verbindet Mikrobiomsequenzdaten und GEO-Informationen
• CFP suppresses breast cancer cell growth by TES-mediated upregulation of the transcription factor DDIT3
• Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
• Large-scale inference of competing endogenous RNA networks with sparse partial correlation
• MiRNA-181d expression significantly affects treatment responses to carmustine wafer implantation
• THU-470-The mRNA-binding protein tristetraprolin promotes hepatocarcinogenesis but inhibits tumour progression in liver cancer
• An ontology-based method for assessing batch effect adjustmentapproaches in heterogeneous datasets
• MiRNA-181d Expression Significantly Affects Treatment Responsesto Carmustine Wafer Implantation
• JAMI - Fast computation of Conditional Mutual Information for ceRNA network analysis
• Nuclear Paraspeckles in Chemoresistance and Poor Survival in HCC
• De novo pathway-based biomarker identification
• Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform
• Systematic screening of isogenic cancer cells identifies DUSP6 as context-specific synthetic lethal target in melanoma
• DeepBlueR: large-scale epigenomic analysis in R
• On the performance of de novo pathway enrichment
• Protein-based nanotoxicology assessment strategy
• Ten Simple Rules for Developing Usable Software in Computational Biology
• The long non-coding RNA H19 suppresses carcinogenesis and chemoresistance in hepatocellular carcinoma
• Efficient Management of High-Throughput Screening Libraries with SAVANAH
• Comprehensive analysis of high-throughput screens with HiTSeekR
• DeepBlue epigenomic data server: programmatic data retrieval and analysis of epigenome region sets
• KeyPathwayMinerWeb: online multi-omics network enrichment
• Robust de novo pathway enrichment with KeyPathwayMiner 5
• Development of Bioinformatics Tools for Biomedical High-Throughput Analyses
• OpenLabNotes - An Electronic Laboratory Notebook Extension for OpenLabFramework
• Reverse Phase Protein Arrays for High-throughput Toxicity Screening
• Microarray R-based analysis of complex lysate experiments with MIRACLE
• Efficient Sample Tracking With OpenLabFramework
• Classification of Breast Cancer Subtypes by combining GeneExpression and DNA Methylation Data
• Integrated Automation of High-Throughput Screening and Reverse Phase Protein Array Sample Preparation
• Reverse Phase Protein Arrays for High-Throughput Protein Measurements in Mammospheres