Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications. - Eugene Kolker; Vural Özdemir; Lennart Martens; William Hancock; Gordon A. Anderson; Nathaniel Anderson; Sukru Aynacioglu; Ancha V. Baranova; Shawn R. Campagna; Rui Chen; John Choiniere; Stephen P. Dearth; et al. (Big Data, 2013)

Beyond protein expression, MOPED goes multi-omics. - Elizabeth Montague; Imre Janko; Larissa Stanberry; Elaine Lee; John Choiniere; Nathaniel Anderson; Elizabeth Stewart; William Broomall; Roger Higdon; Natali Kolker; Eugene Kolker (Nucleic Acids Res., 2015)

Aligning implicit learning and statistical learning: Two approaches, one phenomenon. - Patrick Rebuschat; Padraic Monaghan; Rebecca Gomez; Gary S. Dell; Nathaniel Anderson; Christopher Conway (CogSci, 2016)

Function Modeling Improves the Efficiency of Spatial Modeling Using Big Data from Remote Sensing. - John Hogland; Nathaniel Anderson (Big Data Cogn. Comput., 2017)

New Geospatial Approaches for Efficiently Mapping Forest Biomass Logistics at High Resolution over Large Areas. - John Hogland; Nathaniel Anderson; Woodam Chung (ISPRS Int. J. Geo Inf., 2018)

Mapping Forest Characteristics at Fine Resolution across Large Landscapes of the Southeastern United States Using NAIP Imagery and FIA Field Plot Data. - John Hogland; Nathaniel Anderson; Joseph St. Peter; Jason B. Drake; Paul Medley (ISPRS Int. J. Geo Inf., 2018)

Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States. - Joseph St. Peter; John Hogland; Nathaniel Anderson; Jason B. Drake; Paul Medley (ISPRS Int. J. Geo Inf., 2018)

Using Forest Inventory Data with Landsat 8 Imagery to Map Longleaf Pine Forest Characteristics in Georgia, USA. - John Hogland; Nathaniel Anderson; David L. R. Affleck; Joseph St. Peter (Remote. Sens., 2019)