Unique Molecular Identifiers (UMIs) provide an opportunity to count individual RNA or DNA molecules while eliminating the redundant and distorting effect PCR amplification and sequencing errors.
Phenotypes measured on plants grown in fields can be spatially correlated. Such correlation can arise because plants growing near each other may share a common microenvironment that differs from the microenvironment experienced by plants in
Single nucleotide polymorphisms (SNPs) can be used to track genomic variation at millions of loci across genotypes. RNA sequencing (RNA-seq) can be used to measure transcript abundance levels of tens of thousands of genes. Baker Center
Infectious Bovine Keratoconjunctivitis (IBK), also known as pinkeye, is a disease that has an important impact on the health and welfare of beef calves. In a project led by Veterinary Diagnostic & Production Animal Medicine Professor Ann
Sophisticated computer models are enabling model-enhanced prediction of crop yield, crop biomass, nitrate leaching, soil loss, etc. Statistical emulators of these computer models aid in optimization, calibration, run design, and prediction.
Label-free proteomic data can be used to obtain abundance measurements for many proteins that can be compared across multiple biological samples. Abundance measurements of peptides within a protein are combined together to provide a measurem
Random forests are known to provide excellent point predictions in a variety of contexts, but methods for presenting accurate assessments of the uncertainty associated with random forest predictions are lacking. Baker Center personnel (Zhang
Random forest methodology is a useful statistical learning methodology for predicting response values (e.g., corn yield) from predictor variables (e.g., soil type, soil moisture, and temperatures). Random forest predictions are weighted averages of response values that occur in a training dataset. The random forest algorithm provides a clever mechanism for determining weights assigned to each training dataset observation when predicting the response value associated with given values of the predictor variables. However, one limitation of random forest predictions is that, as a weighted average of training dataset responses, all predictions are necessarily bounded by the range of ...
Efforts to improve public health communication about colorectal cancer (CRC) and CRC screening (CRCS) require understanding what information is commonly seen by target audiences and consideration of existing information and behavior disparities fo
Light bolsters plant defenses against pathogens, but the role of light in influencing the virulence and behavior of plant pathogens is poorly understood. Photosensory proteins in plant pathogenic bacteria provide an experimental means to lin
