摘要:
In one aspect of the invention, methods, systems and computer software products are provided for analyzing genotyping data. In exemplary embodiment, genotype data are analyzed using a model based classification method.
摘要:
In one aspect of the invention, methods, systems and computer software products are provided for analyzing genotyping data. In exemplary embodiment, genotype data are analyzed using a model based classification method.
摘要:
Disclosed herein is a plant disease and pest control method using aerial photography and spectral remote sensing technology to record and analyze crop orthographic images. After building meshes from a dense point cloud or 3D depth map, orthographic images are generated. Then, the numbers of crop pest insect, crop leaf infestation area, and the ratio between leaf and its farmland area are calculated using deep learning techniques. After that, the growth curve of the pest population is established via modeling techniques and a pest and disease prediction model is established to determine the optimized timing for pesticide spraying.
摘要:
Methods for generating a normalized expression signal for microarray data based on a theoretical distribution at the unit level to produce a normalized expression signal for the single microarray that is independent of other microarrays. The method typically includes receiving microarray data representing a plurality of probe pairs for a single microarray, determining, for each probe pair, differences between intensities of perfect match (PM) probes and intensities of mismatched (MM) probes, determining a difference signal, D, based on the determined differences, and scaling the difference signal, D, to produce an expression signal, DS. The method also typically includes normalizing the expression signal based on a theoretical distribution at the unit level to produce a normalized expression signal for the single microarray that is independent of other microarrays.