107 citations · 267 across the 6 of their papers we have counts for
6 papers
Identification of feasible pathway information for c-di-GMP binding proteins in cellulose production
Syeda Sakira Hassan, Rahul Mangayil, Tommi Aho +2
In this paper, we utilize a machine learning approach to identify the significant pathways for c-di-GMP signaling proteins. The dataset involves gene counts from 12 pathways and 5…
A clarification of misconceptions, myths and desired status of artificial intelligence
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
The field artificial intelligence (AI) has been founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed though various stages of popularity an…
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
We are used to the availability of big data generated in nearly all fields of science as a consequence of technological progress. However, the analysis of such data possess vast ch…
Computational Analysis of the structural properties of Economic and Financial Networks
Frank Emmert-Streib, Aliyu Musa, Kestutis Baltakys +5
In recent years, methods from network science are gaining rapidly interest in economics and finance. A reason for this is that in a globalized world the interconnectedness among ec…
Growth efficiency as a cellular objective in Eschericia coli
Tommi Aho, Juha Kesseli, Olli Yli-Harja +1
The identification of cellular objectives is one of the central topics in the research of microbial metabolic networks. In particular, the information about a cellular objective is…
Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships
Matti Nykter, Nathan D. Price, Antti Larjo +4
Network structure strongly constrains the range of dynamic behaviors available to a complex system. These system dynamics can be classified based on their response to perturbations…