Figure 1.

Single-cell experimental tools and datasets needed for generating models of cell types, states, regulatory networks, and disease/therapy signatures. The boxes in the outer circle represent data types (yellow) as well as experimental and analytical frameworks (pink) needed for describing the properties of a cell and for creating the prediction models described in the center, which include classifying cells and states, learning regulatory networks, and identifying predictive signatures of treatment and disease. Abbreviations: BCR, B cell receptor; CRISPR, clustered regularly interspaced short palindromic repeat; TCR, T cell receptor.