Abstract: The present disclosure provides antibody capture complexes and methods of capturing a target antibody secreted by an antibody secreting cell.

Abstract: Described herein are methods and systems for generating, training, and tailoring deep-learning models. The present methods and systems may provide a generalized framework for using deep-learning models to analyze data records comprising one or more strings (e.g., sequences) of data. Unlike existing deep-learning models and frameworks, which are designed to be problem/analysis specific, the generalized framework described herein may be applicable for a wide range of predictive and/or generative data analysis.

Abstract: The present disclosure provides methods of identifying unreliable biological samples that may be mislabeled or contaminated, by determining the heteroplasmy and homoplasmy of mitochondrial DNA present in the biological samples.

Abstract: This disclosure relates to methods for deconvolving bulk or spatial RNA-sequencing data, computer readable medium storing processor-executable instructions adapted to deconvolve bulk or spatial RNA-sequencing data, and systems for deconvolving bulk or spatial RNA-sequencing data to characterize cell type compositions.