Compositions and methods for cellular phenotype assessment of a sample using confined volume arrays

A method for evaluating a sample, the method comprising:

• (a) dividing the sample into two or more sub-samples or sample portions;
• (b) mixing each sub-sample or sample portion with one or more reagents and/or one or more reactants forming distinct sub-sample or sample portion mixtures;
• (c) compartmentalizing each of the sub-sample or sample portion mixtures into a plurality of droplets having an average volume of less than 1 μL, wherein some of the droplets contain one cell or one cellular aggregate;
• (d) detecting signals over time from some of the droplets;
• (e) collecting the detected signals to provide collected droplet data;
• (f) generating a classifier output for the one cell or one cellular aggregate at least by transmitting the collected droplet data to at least a first neural network;
• and
• (g) generating an analysis output with a second neural network at least by transmitting the classifier output to a second neural network.