Computational ModelsGrowth & Developmentin silico Plants Improving crop modeling using machine learning Integration of machine learning and crop modelling can optimize predictions of plant growth and yield. Rachel ShekarSeptember 30, 2022
Cells, Genes & MoleculesComputational Models Machine learning used to identify transcription factor-DNA interactions Surveying machine learning methods to improve detection of binding sites. Rachel ShekarSeptember 5, 2022
Taxonomy & Evolution New Leaf Database Could Help Identify Extinct Plants A new database of leaves promise not only to help identify plants around us, but also to identify plants known only from fossils. Dale MayleaMarch 16, 2022
Cells, Genes & MoleculesComputational Models Transferring annotation information between species through machine learning A new machine learning strategy allows genomic knowledge to be transferred from information-rich to information-poor species. Rachel ShekarAugust 18, 2020
Plants & People Machine learning can help clear herbarium backlogs & potentially discover new species Computers can combat the slow pace and shortage of expertise that plagues specimen identification and species discovery. Erin ZimmermanJuly 28, 2020
Plants & People Training and high quality images needed for best online annotation of digital specimens Volunteers produced the most accurate annotations in-person, but both in-person and online volunteers gave good results. Erin ZimmermanJuly 27, 2020
Computational Models Plant-mSubP: a machine learning tool to predict single- and multi-target protein subcellular localisation Plant cells are three-dimensional spaces composed of several compartments, each with its own physicochemical environment and function. The subcellular localisation of proteins, the cell’s functional machinery, is very... William SalterMay 28, 2020