21 citations · 73 across the 25 of their papers we have counts for
6 papers · 1 filter
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
Hector Zenil, Narsis A. Kiani, Ming-Mei Shang +1
Here we address the challenge of profiling causal properties and tracking the transformation of chemical compounds from an algorithmic perspective. We explore the potential of appl…
Predictive Systems Toxicology
Narsis A. Kiani, Ming-Mei Shang, Hector Zenil +1
In this review we address to what extent computational techniques can augment our ability to predict toxicity. The first section provides a brief history of empirical observations…
HiDi: An efficient reverse engineering schema for large scale dynamic regulatory network reconstruction using adaptive differentiation
Yue Deng, Hector Zenil, Jesper Tégner +1
The use of differential equations (ODE) is one of the most promising approaches to network inference. The success of ODE-based approaches has, however, been limited, due to the dif…
Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks
Narsis A. Kiani, Hector Zenil, Jakub Olczak +1
Network inference is a rapidly advancing field, with new methods being proposed on a regular basis. Understanding the advantages and limitations of different network inference meth…
Quantifying Loss of Information in Network-based Dimensionality Reduction Techniques
Hector Zenil, Narsis A. Kiani, Jesper Tegnér
To cope with the complexity of large networks, a number of dimensionality reduction techniques for graphs have been developed. However, the extent to which information is lost or p…
Methods of Information Theory and Algorithmic Complexity for Network Biology
Hector Zenil, Narsis A. Kiani, Jesper Tegnér
We survey and introduce concepts and tools located at the intersection of information theory and network biology. We show that Shannon's information entropy, compressibility and al…