| Epigenome-wide meta-analysis of DNA methylation and childhood asthma SE Reese, CJ Xu, HT Den Dekker, MK Lee, S Sikdar, C Ruiz-Arenas, ... Journal of Allergy and Clinical Immunology 143 (6), 2062-2074, 2019 | 178 | 2019 |
| The nasal methylome and childhood atopic asthma IV Yang, BS Pedersen, AH Liu, GT O'Connor, D Pillai, M Kattan, RT Misiak, ... Journal of Allergy and Clinical Immunology 139 (5), 1478-1488, 2017 | 155 | 2017 |
| Revealing a signaling role of phytosphingosine‐1‐phosphate in yeast LA Cowart, M Shotwell, ML Worley, AJ Richards, DJ Montefusco, ... Molecular systems biology 6 (1), 349, 2010 | 58 | 2010 |
| The Nasal Methylome: A Key to Understanding Allergic Asthma IV Yang, A Richards, EJ Davidson, AD Stevens, CA Kolakowski, RJ Martin, ... American Journal of Respiratory and Critical Care Medicine 195 (6), 829-831, 2017 | 48 | 2017 |
| Comparing methods for the assessment of reproductive activity in adult male loggerhead sea turtles Caretta caretta at Cape Canaveral, Florida G Blanvillain, AP Pease, AL Segars, DC Rostal, AJ Richards, DW Owens Endangered Species Research 6 (1), 75-85, 2008 | 47 | 2008 |
| Assessing the functional coherence of gene sets with metrics based on the Gene Ontology graph AJ Richards, B Muller, M Shotwell, LA Cowart, B Rohrer, X Lu Bioinformatics 26 (12), i79-i87, 2010 | 46 | 2010 |
| A nonparametric approach to detect nonlinear correlation in gene expression YA Chen, JS Almeida, AJ Richards, P Müller, RJ Carroll, B Rohrer Journal of Computational and Graphical Statistics 19 (3), 552-568, 2010 | 43 | 2010 |
| Long-term ERG analysis in the partially light-damaged mouse retina reveals regressive and compensatory changes A Richards, AA Emondi, B Rohrer Visual neuroscience 23 (1), 91-97, 2006 | 36 | 2006 |
| Setting objective thresholds for rare event detection in flow cytometry AJ Richards, J Staats, J Enzor, K McKinnon, J Frelinger, TN Denny, ... Journal of immunological methods 409, 54-61, 2014 | 15 | 2014 |
| GOGrapher: A Python library for GO graph representation and analysis B Muller, AJ Richards, B Jin, X Lu BMC research notes 2, 1-4, 2009 | 12 | 2009 |
| Revealing functionally coherent subsets using a spectral clustering and an information integration approach AJ Richards, JH Schwacke, B Rohrer, LA Cowart, X Lu BMC systems biology 6, 1-11, 2012 | 4 | 2012 |
| Transcriptomic analysis of the trade-off between endurance and burst-performance in the frog Xenopus allofraseri V Ducret, AJ Richards, M Videlier, T Scalvenzi, KA Moore, K Paszkiewicz, ... BMC genomics 22, 1-14, 2021 | 2 | 2021 |
| htsint: a Python library for sequencing pipelines that combines data through gene set generation AJ Richards, C Herrel, Anthony and Bonneaud BMC Bioinformatics 16, 307, 2015 | 1 | 2015 |
| Fcm-A python library for flow cytometry. J Frelinger, A Richards, C Chan SciPy, 46-50, 2012 | 1 | 2012 |
| Using multi-level transcriptomics and metabolic measures to investigate the trade-off between performance and immunity C Bonneaud, A Richards, A Herrel, F Seebacher, R Wilson Integrative and Comparative Biology 57, E207-E207, 2017 | | 2017 |
| Characterizing Xenopus tropicalis endurance capacities with multilevel transcriptomics AJ Richards, A Herrel, M Videlier, K Paszkiewicz, N Pollet, C Bonneaud bioRxiv, 091280, 2016 | | 2016 |
| lpEdit: an editor to facilitate reproducible analysis via literate programming AJ Richards, AS Kosinski, C Bonneaud, D Legrand, K Owzar SciPy Conferences, 2013 | | 2013 |
| Discovering Functionally Coherent Gene Sets Using Heterogenous Information Sources: a Graphical Framework AJ Richards Medical University of South Carolina, 2011 | | 2011 |
| ISMB 2010 ORGANIZATION RF Murphy, A Bateman, T Lengauer, Y Moreau, D Durand, H Margalit, ... | | 2010 |
| Development of a Graph Theoretic Approach to Assess Gene Set Functional Coherence AJ Richards Medical University of South Carolina, 2008 | | 2008 |
Jacob FrelingerGoogleVerified email at google.com
