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GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods

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GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods

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Utility Based State Learning for Controlling Partially Observable Gene Regulatory Networks

Mapping the fine structure of a eukaryotic promoter input-output function

Systematic Analysis of Yeast Gene Expression by Synthetic Promoter Libraries

Development and application of experimental tools to elucidate the gene regulatory network underlying adipogenesis

Batch Mode Reinforcement Learning for Controlling Gene Regulatory Networks and Multi-model Gene Expression Data Enrichment Framework

Dissecting Gene Regulatory Networks Using Targeted Quantitative Proteomics

Reverse Engineering and Analysis of Genome-Wide Gene Regulatory Networks from Gene Expression Profiles Using High-Performance Computing

Human-Specific Histone Methylation Signatures at Transcription Start Sites in Prefrontal Neurons

GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods