Reverse-engineering ecological theory from data

Reverse Engineering of Data

Reverse Engineering Meets Data Analysis

We demonstrate how the data management techniques known as On{Line Analytical Processing, or OLAP, can be used to enhance the sophistication and range of software reverse engineering tools. This is the rst comprehensive examination of the similarities and diierences in these tasks both in how OLAP techniques meet (or fail to meet) the needs of reverse engineering and in how reverse engineering ...

Reverse-engineering transcriptional modules from gene expression data.

"Module networks" are a framework to learn gene regulatory networks from expression data using a probabilistic model in which coregulated genes share the same parameters and conditional distributions. We present a method to infer ensembles of such networks and an averaging procedure to extract the statistically most significant modules and their regulators. We show that the inferred probabilist...

Automatic Reverse Engineering of Data Structures from Binary Execution

With only the binary executable of a program, it is useful to discover the program’s data structures and infer their syntactic and semantic definitions. Such knowledge is highly valuable in a variety of security and forensic applications. Although there exist efforts in program data structure inference, the existing solutions are not suitable for our targeted application scenarios. In this pape...

Reverse Engineering Chemical Reaction Networks from Time Series Data

The automated inference of physically interpretable (bio)chemical reaction network models from measured experimental data is a challenging problem whose solution has significant commercial and academic ramifications. It is demonstrated, using simulations, how sets of elementary reactions comprising chemical reaction networks, as well as their rate coefficients, may be accurately recovered from ...