New paper: unsupervised learning for medical images analysis
We recently published a new paper on Journal of Supercomputing. The article focuses on an approach that combines automatic feature extraction and unsupervised learning for the analysis of medical images. The idea is to extract (long) vectors of Haralick features for each pixel, and use that information to train a Self-Organizing Map: similar pixels will …
Two new journal papers
Recently, we got two papers accepted for pubblication. The first one was the followup of our CIBCB 2019 paper, published on IEEE Journal of Biomedical and Health Informatics. The paper describes the last developments of our ProCell tool for cell proliferation analysis, whose GUI was completely overhauled by designer Luca Zanini and whose simulation core …
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 …
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 …
Paper accepted on Computer Methods and Programs in Biomedicine
Today, a new journal paper was published
New publication: COST action ‘cHiPSet’ book chapter
A book chapter about the Case Study “Towards Human Cell Simulation” lead by me was published today.
New paper published on Bioinformatics
A couple of years ago, we started a collaboration with the IEO (Istituto Europeo di Oncologia). Prof. Pelicci and his staff investigate Acute Myeloid Leukemia (AML), one of the most common hematological malignancies, characterized by high relapse and mortality rates. The guys at IEO are wonderful, brilliant, I learned a lot in these months and …
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