Abstract: High throughput methods for identifying monoclonal antibodies (mAbs) targeted to tumor antigens, using membranal B-cell receptor (BCR) screening of immortalized B-cells are provided. Methods for identification and characterization of tumor-related antigens are also provided as well as therapeutic and diagnostic uses of the newly-identified antibodies and antigens in cancer.

Abstract: A data modeling platform includes a distributed modeling ensemble generator and a progress tracker. The distributed modeling ensemble generator preprocesses and models an input dataset according to a user listing of modeling types, modeling algorithms and preprocessing operations. The generator includes a plurality of model runners, one per modeling type, and a data coordinator. Each model runner operates with a changing plurality of distributed independent modeling services and generates a changing set of points in a hyper-parameter space defining hyper-parameters for the modeling algorithms and preprocessing operations. Each distributed modeling service uses a selected one of the hyper-parameter points and generates a validated score for that point. The data coordinator coordinates the operation of the model runners and provides the hyper-parameter points and their resulting scores to the progress tracker.