Abstract: In some aspects, the present disclosure provides a method for determining a polyamino acid descriptor associated with a biological state. The method can comprise removing technical variation from a proteomic dataset to generate a refined proteomic dataset, the technical variation arising from a predetermined non-biological factor, by training a neural network using a loss function. The loss function can be configured to increase a similarity between a first set of latent embeddings that are based on a first subset of polyamino acid descriptors in the proteomic dataset, wherein the first subset of polyamino acid descriptors are obtained from the same sample. The loss function can be configured to decrease the similarity between a second set of latent embeddings that are based on a second subset of polyamino acid descriptors in the proteomic dataset, wherein the second subset of polyamino acid descriptors are obtained from different samples.

Abstract: Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.

Abstract: Disclosed herein are compositions and methods for assaying for proteins and nucleic acids, in parallel.

Abstract: Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.

Abstract: The present disclosure describes methods and systems for analyzing mass spectrometry data. The methods and systems can comprise an operation of contacting a plurality of biomolecules with a plurality of surfaces. The methods and systems can further comprise performing mass spectrometry on the plurality of biomolecules, or a portion or derivative thereof. The methods and systems can further comprise classifying a sample based on the mass spectra. The methods and systems of the disclosure may be used for identifying evidence of operational errors in mass spectrometry datasets.

Abstract: Disclosed herein are particles and methods of using said particles in assays for detection of biomolecules in a sample. Various methods of the present disclosure utilize particles for biomolecule adsorption. In some aspects, the present disclosure provides methods which utilize multiple particle concentrations to differentially fractionate biological samples. In further aspects, the present disclosure provides methods which utilize low particle concentrations to enhance adsorbed biomolecule diversity.

Abstract: In some aspects, the present disclosure provides a method for normalizing and processing mass spectrometry datasets. In some embodiments, the method comprises loading a plurality of mass spectrometry data obtained from a plurality of samples into a memory of a computing node to generate a cached dataset. In some embodiments, the method comprises transmitting a copy of the cached dataset to a plurality of cache memories of a plurality of computing nodes. In some embodiments, the method comprises determining, using the plurality of computing nodes, a plurality of feature values for the plurality of mass spectrometry data. In some embodiments, the method comprises normalizing, using the plurality of computing nodes, across the plurality of mass spectrometry datasets using the plurality of feature values to generate a plurality of normalized mass spectrometry data.

Abstract: Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.

Abstract: Disclosed herein are compositions and methods for assaying for proteins and nucleic acids, in parallel.

Abstract: Disclosed herein are particles and methods of using said particles in assays for detection of biomolecules in a sample. Various methods of the present disclosure utilize particles for biomolecule adsorption. In some aspects, the present disclosure provides methods which utilize multiple particle concentrations to differentially fractionate biological samples. In further aspects, the present disclosure provides methods which utilize low particle concentrations to enhance adsorbed biomolecule diversity.

Abstract: Disclosed herein are compositions and methods for assaying for low volumes of proteins and/or nucleic acids, optionally in parallel.

Abstract: Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.

Abstract: Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.

Abstract: Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.