Abstract: Methods and systems are provided for a platform and language agnostic method for generating inter- and intra-data type aggregations of heterogeneous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.

Abstract: Methods and systems are provided for viewing multi-modal data in three dimensions. In one example, a method for visualizing and manipulating multi-modal features of a plurality of data objects includes accessing a plurality of datasets associated with a subject of interest, where data in the plurality of datasets changes in real-time; displaying a hub object representing the subject of interest; dynamically displaying a plurality of axis objects associated with the subject of interest, each comprising a representation of a summary metric of a respective dataset of the plurality of datasets and each displayed proximate the hub object, including adjusting a length and/or intensity of one or more of the plurality of axis objects as the data change; and in response to selection of a first axis object, displaying a first track object including a plurality of representations of data points within a first dataset of the plurality of datasets.

Abstract: Methods and systems are provided for viewing multi-modal data in three dimensions. In one example, a method for visualizing and manipulating multi-modal features of a plurality of data objects includes accessing a plurality of datasets associated with a subject of interest, where data in the plurality of datasets changes in real-time; displaying a hub object representing the subject of interest; dynamically displaying a plurality of axis objects associated with the subject of interest, each comprising a representation of a summary metric of a respective dataset of the plurality of datasets and each displayed proximate the hub object, including adjusting a length and/or intensity of one or more of the plurality of axis objects as the data change; and in response to selection of a first axis object, displaying a first track object including a plurality of representations of data points within a first dataset of the plurality of datasets.

Abstract: Methods and systems are provided for automatically classifying cells in a histological stained image. In an example, a method includes automatically classifying a plurality of cells in an image of a biological sample stained with a histological stain using a classification model, the classification model trained with a plurality of automatically-classified pseudo-stained images each generated from a respective immunofluorescent image.