Blog

Marco S. Nobile, Associate Professor with the Ca' Foscari University of Venice, Italy

ProCell’s redesign

Designer Luca Zanini created a completely renewed GUI and user experience for ProCell. This is how the new interface looks like: The new interface of ProCell (which now reached version 1.6.0) has an elegant dark skin and has got an improved usability thanks to additional functionalities, a more rational use of colors and a new …

New paper published in PaCT 2019’s proceedings

The PaCT conference (Parallel Computing Technologies) is a biennial event focused on the new developments and trends in parallel computing technologies. We presented some papers in the previous editions, mainly focusing on GPU-powered (biochemical) simulation [1], [2], [3]. This year we submitted a manuscript focused on something completely different, that is, the GPU-powered automatic extraction …

FST-PSO release 1.6.0

Fuzzy Self-Tuning PSO was upgrade to version 1.6.0. The source code can be downloaded from GITHUB, and the python package can be easily installed using pip. This is the first release officially supporting Python 3. I managed to solve some pending issues with the packaging system, and I fixed miniful’s support (even though I am …

Best Paper Award at IEEE CIBCB’19

In early July, I presented our joint research with the European Institute of Oncology (IEO) at the 2019 IEEE Conference on Computational Intelligence in Computational Biology and Bioinformatics (CIBCB 2019). The paper, titled “ProCell: Investigating cell proliferation with Swarm Intelligence”, focuses on the investigation of AML blasts by means of ProCell, the stochastic modeling and …

New paper accepted on IEEE Transactions on Fuzzy Systems

We use Fuzzy Logic to create interpretable models of heterogeneous cellular systems characterized by uncertainty…

Benchmark functions vs parameter estimation: new paper accepted on Applied Soft Computing

For some real world problems, common algorithms can outperform the most advanced meta-heuristics.

GenHap, a novel evolutionary approach for haplotyping, published on BMC Bioinformatics

GenHap is a novel evolutionary method to solve the haplotyping problem. basically subdivides the data into multiple independent combinatorial subproblems, each solved using a separate genetic algorithm. Then a recombination step fuses the solutions of subproblems into a final complete haplotype. GenHap also natively distributes the calculations over multiple cores by means of MPI, reducing …

New paper accepted at IEEE CIBCB 2019

Today our paper “ProCell: Investigating cell proliferation with Swarm Intelligence” was accepted for the forthcoming IEEE Conference on Computational Intelligence for Bioinformatics and Computational Biology (CIBCB 2019) at Certosa di Pontignano (Siena, Italy). The paper, written in cooperation with the European Institute of Oncology, proposes an extended analysis of our tool ProCell, along with its …

New publication: COST action ‘cHiPSet’ book chapter

A book chapter about the Case Study “Towards Human Cell Simulation” lead by me was published today.