| human | Q5 |
| P2456 | DBLP author ID | 36/5997 |
| P6634 | LinkedIn personal profile ID | ronaldtaylor99338 |
| P2798 | Loop ID | 111547 |
| P496 | ORCID iD | 0000-0001-9777-9767 |
| P2038 | ResearchGate profile ID | Ronald_Taylor2 |
| P69 | educated at | Case Western Reserve University | Q1047060 |
| George Mason University | Q1411222 | ||
| P108 | employer | National Institutes of Health | Q390551 |
| Argonne National Laboratory | Q649120 | ||
| National Cancer Institute | Q664846 | ||
| Pacific Northwest National Laboratory | Q1076890 | ||
| Cincinnati Children's Hospital Medical Center | Q5120231 | ||
| P734 | family name | Taylor | Q15080511 |
| Taylor | Q15080511 | ||
| Taylor | Q15080511 | ||
| P735 | given name | Ronald | Q2532287 |
| Ronald | Q2532287 | ||
| P106 | occupation | researcher | Q1650915 |
| P21 | sex or gender | male | Q6581097 |
| Q57245629 | A guide to microarray experiments-an open letter to the scientific journals |
| Q50055800 | A network inference workflow applied to virulence-related processes in Salmonella typhimurium |
| Q46612217 | An analysis pipeline for the inference of protein-protein interaction networks |
| Q61919665 | An integrated approach to predictive genomic analytics |
| Q42639845 | An open letter on microarray data from the MGED Society |
| Q33787308 | An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics |
| Q37452923 | Biological Network Inference and analysis using SEBINI and CABIN. |
| Q43453374 | Bottlenecks and hubs in inferred networks are important for virulence in Salmonella typhimurium |
| Q39859381 | Brain in situ hybridization maps as a source for reverse-engineering transcriptional regulatory networks: Alzheimer's disease insights |
| Q34242632 | CO2 exposure at pressure impacts metabolism and stress responses in the model sulfate-reducing bacterium Desulfovibrio vulgaris strain Hildenborough. |
| Q42774794 | Cells Respond to Distinct Nanoparticle Properties with Multiple Strategies As Revealed by Single-Cell RNA-Seq. |
| Q37671103 | Changes in translational efficiency is a dominant regulatory mechanism in the environmental response of bacteria. |
| Q37433755 | Computing and Applying Atomic Regulons to Understand Gene Expression and Regulation |
| Q34805054 | Coregulation of Terpenoid Pathway Genes and Prediction of Isoprene Production in Bacillus subtilis Using Transcriptomics |
| Q39598370 | Cover Image, Volume 231, Number 11, November 2016. |
| Q59055056 | DNA correlations |
| Q27010370 | Data standards for Omics data: the basis of data sharing and reuse |
| Q36562145 | Development of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE). |
| Q34505605 | Distinct strains of Toxoplasma gondii feature divergent transcriptomes regardless of developmental stage |
| Q38503397 | Enriching regulatory networks by bootstrap learning using optimised GO-based gene similarity and gene links mined from PubMed abstracts |
| Q37182319 | Evidence supporting dissimilatory and assimilatory lignin degradation in Enterobacter lignolyticus SCF1. |
| Q52058302 | GEST: a gene expression search tool based on a novel Bayesian similarity metric. |
| Q33382860 | Gene set analyses for interpreting microarray experiments on prokaryotic organisms |
| Q34463953 | Genomic expansion of domain archaea highlights roles for organisms from new phyla in anaerobic carbon cycling. |
| Q42774824 | Identification of Differential Gene Expression Patterns after Acute Exposure to High and Low Doses of Low-LET Ionizing Radiation in a Reconstituted Human Skin Tissue |
| Q61919669 | Learning biological networks via bootstrapping with optimized go-based gene similarity |
| Q31096629 | Microbial Community Metabolic Modeling: A Community Data-Driven Network Reconstruction |
| Q27860569 | Minimum information about a microarray experiment (MIAME)-toward standards for microarray data |
| Q28652074 | Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE) |
| Q34446615 | Modeling dynamic regulatory processes in stroke |
| Q37680791 | Modeling framework for isotopic labeling of heteronuclear moieties |
| Q37336978 | Network analysis of transcriptomics expands regulatory landscapes in Synechococcus sp. PCC 7002. |
| Q33366544 | Network inference algorithms elucidate Nrf2 regulation of mouse lung oxidative stress |
| Q39697075 | PACAP interactions in the mouse brain: implications for behavioral and other disorders. |
| Q33789992 | Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated 'Omics Approach |
| Q43576903 | Reverse engineering adverse outcome pathways |
| Q51933975 | SEBINI: Software Environment for BIological Network Inference. |
| Q47615172 | Standards for microarray data |
| Q24803791 | Submission of microarray data to public repositories |
| Q35079823 | The Toxoplasma gondii cyst wall protein CST1 is critical for cyst wall integrity and promotes bradyzoite persistence. |
| Q24534107 | The frameshift signal of HIV-1 involves a potential intramolecular triplex RNA structure |
| Q33570127 | The highly conserved MraZ protein is a transcriptional regulator in Escherichia coli |
| Q48274454 | The underlying principles of scientific publication. |
| Q35060596 | Transcriptomic and proteomic dynamics in the metabolism of a diazotrophic cyanobacterium, Cyanothece sp. PCC 7822 during a diurnal light-dark cycle |
| Q38507622 | Using the gene ontology to enrich biological pathways. |
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