experiment_breakout

this is highly specific to the miR paper

Provides a general toolkit for drug target identification. We include functionality to reduce large graphs to subgraphs and prioritize nodes. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Weaver et al. (2021) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008755>.

Davis Weaver

crosstalkr

Analysis of Graph-Structured Data with a Focus on
Protein-Protein Interaction Networks

experiment_breakout function

<dl><dt>df</dt>
<dd>dataframe</dd></dl>

Arguments

helper function to split experiment names into constituent parts — experiment_breakout

<dl>

<dt>df</dt>
<dd>dataframe</dd>

</dl>

State of Data and AI Literacy Report 2025

experiment_breakout: helper function to split experiment names into constituent parts

Description

Usage

Value

Arguments