Select Publications
Journal articles
2024, 'Improvement of immune dysregulation in individuals with long COVID at 24-months following SARS-CoV-2 infection', Nature Communications, 15, http://dx.doi.org/10.1038/s41467-024-47720-8
,2023, 'The transcriptional legacy of developmental stochasticity', Nature Communications, 14, http://dx.doi.org/10.1038/s41467-023-43024-5
,2023, 'Gene expression analyses of TAS1R taste receptors relevant to the treatment of cardiometabolic disease', Chemical Senses, 48, http://dx.doi.org/10.1093/chemse/bjad027
,2022, 'Variability of cross-tissue X-chromosome inactivation characterizes timing of human embryonic lineage specification events', Developmental Cell, 57, pp. 1995 - 2008.e5, http://dx.doi.org/10.1016/j.devcel.2022.07.007
,2022, 'Pan-human consensus genome significantly improves the accuracy of RNA-seq analyses', Genome Research, 32, pp. 738 - 750, http://dx.doi.org/10.1101/gr.275613.121
,2021, 'Co-expression of calcium and hERG potassium channels reduces the incidence of proarrhythmic events', Cardiovascular Research, 117, pp. 2216 - 2227, http://dx.doi.org/10.1093/cvr/cvaa280
,2021, 'CoCoCoNet: Conserved and comparative co-expression across a diverse set of species', Nucleic Acids Research, 48, pp. W566 - W571, http://dx.doi.org/10.1093/NAR/GKAA348
,2020, 'Analytical Guidelines for co-fractionation Mass Spectrometry Obtained through Global Profiling of Gold Standard Saccharomyces cerevisiae Protein Complexes', Molecular and Cellular Proteomics, 19, pp. 1876 - 1895, http://dx.doi.org/10.1074/mcp.RA120.002154
,2020, 'Single-Cell Transcriptomics', eLS, pp. 1 - 10, http://dx.doi.org/10.1002/9780470015902.a0028528
,2019, 'Is it time to change the reference genome?', Genome Biology, 20, pp. 159, http://dx.doi.org/10.1186/s13059-019-1774-4
,2019, 'Predictability of human differential gene expression', Proceedings of the National Academy of Sciences of the United States of America, 116, pp. 6491 - 6500, http://dx.doi.org/10.1073/pnas.1802973116
,2018, 'Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor', Nature Communications, 9, pp. 884, http://dx.doi.org/10.1038/s41467-018-03282-0
,2018, 'The fractured landscape of RNA-seq alignment: The default in our STARs', Nucleic Acids Research, 46, pp. 5125 - 5138, http://dx.doi.org/10.1093/nar/gky325
,2017, 'Strength of functional signature correlates with effect size in autism', Genome Medicine, 9, pp. 64, http://dx.doi.org/10.1186/s13073-017-0455-8
,2017, 'Using predictive specificity to determine when gene set analysis is biologically meaningful', Nucleic acids research, 45, pp. e20 - e20, http://dx.doi.org/10.1093/nar/gkw957
,2017, 'EGAD: Ultra-fast functional analysis of gene networks', Bioinformatics, 33, pp. 612 - 614, http://dx.doi.org/10.1093/bioinformatics/btw695
,2017, 'Not by systems alone: replicability assessment of disease expression signals', , http://dx.doi.org/10.1101/128439
,2016, 'Ligand similarity complements sequence, physical interaction, and Co-Expression for gene function prediction', PLoS ONE, 11, pp. e0160098, http://dx.doi.org/10.1371/journal.pone.0160098
,2016, 'Exploiting single-cell expression to characterize co-expression replicability', Genome biology, 17, pp. 101, http://dx.doi.org/10.1186/s13059-016-0964-6
,2016, 'AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression', PLoS Computational Biology, 12, pp. e1004868, http://dx.doi.org/10.1371/journal.pcbi.1004868
,2016, 'Positive and negative forms of replicability in gene network analysis', Bioinformatics, 32, pp. 1065 - 1073, http://dx.doi.org/10.1093/bioinformatics/btv734
,2015, 'Guidance for RNA-seq co-expression network construction and analysis: Safety in numbers', Bioinformatics, 31, pp. 2123 - 2130, http://dx.doi.org/10.1093/bioinformatics/btv118
,2015, 'Measuring the wisdom of the crowds in network-based gene function inference', Bioinformatics, 31, pp. 745 - 752, http://dx.doi.org/10.1093/bioinformatics/btu715
,2014, 'Bias tradeoffs in the creation and analysis of protein-protein interaction networks', Journal of Proteomics, 100, pp. 44 - 54, http://dx.doi.org/10.1016/j.jprot.2014.01.020
,2014, 'Candidate disease gene prediction using : application to a genome-wide association study on coronary artery disease', Molecular Genetics & Genomic Medicine, 2, pp. 44 - 57, http://dx.doi.org/10.1002/mgg3.40
,2013, 'Gentrepid V2.0: A web server for candidate disease gene prediction', BMC Bioinformatics, 14, pp. 249, http://dx.doi.org/10.1186/1471-2105-14-249
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