Salerno E - Search Results

1

Complementing Hi-C information for 3D chromatin reconstruction by ChromStruct.

Caudai C, Salerno E. Caudai C, et al. Among authors: salerno e. Front Bioinform. 2024 Jan 22;3:1287168. doi: 10.3389/fbinf.2023.1287168. eCollection 2023. Front Bioinform. 2024. PMID: 38318534 Free PMC article.

2

Inferring 3D chromatin structure using a multiscale approach based on quaternions.

Caudai C, Salerno E, Zoppè M, Tonazzini A. Caudai C, et al. Among authors: salerno e. BMC Bioinformatics. 2015 Jul 29;16:234. doi: 10.1186/s12859-015-0667-0. BMC Bioinformatics. 2015. PMID: 26220581 Free PMC article.

3

Integration of Multiple Resolution Data in 3D Chromatin Reconstruction Using ChromStruct.

Caudai C, Zoppè M, Tonazzini A, Merelli I, Salerno E. Caudai C, et al. Among authors: salerno e. Biology (Basel). 2021 Apr 16;10(4):338. doi: 10.3390/biology10040338. Biology (Basel). 2021. PMID: 33923796 Free PMC article.

4

ChromStruct 4: A Python Code to Estimate the Chromatin Structure from Hi-C Data.

Caudai C, Salerno E, Zoppe M, Merelli I, Tonazzini A. Caudai C, et al. Among authors: salerno e. IEEE/ACM Trans Comput Biol Bioinform. 2018 May 21. doi: 10.1109/TCBB.2018.2838669. Online ahead of print. IEEE/ACM Trans Comput Biol Bioinform. 2018. PMID: 29993555

5

Estimation of the Spatial Chromatin Structure Based on a Multiresolution Bead-Chain Model.

Caudai C, Salerno E, Zoppe M, Tonazzini A. Caudai C, et al. Among authors: salerno e. IEEE/ACM Trans Comput Biol Bioinform. 2019 Mar-Apr;16(2):550-559. doi: 10.1109/TCBB.2018.2791439. Epub 2018 Jan 9. IEEE/ACM Trans Comput Biol Bioinform. 2019. PMID: 29994172

6

AI applications in functional genomics.

Caudai C, Galizia A, Geraci F, Le Pera L, Morea V, Salerno E, Via A, Colombo T. Caudai C, et al. Among authors: salerno e. Comput Struct Biotechnol J. 2021 Oct 11;19:5762-5790. doi: 10.1016/j.csbj.2021.10.009. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 34765093 Free PMC article. Review.

7

Analysis of Diagnostic Images of Artworks and Feature Extraction: Design of a Methodology.

Amura A, Aldini A, Pagnotta S, Salerno E, Tonazzini A, Triolo P. Amura A, et al. Among authors: salerno e. J Imaging. 2021 Mar 12;7(3):53. doi: 10.3390/jimaging7030053. J Imaging. 2021. PMID: 34460709 Free PMC article.

8

Analytical and mathematical methods for revealing hidden details in ancient manuscripts and paintings: A review.

Tonazzini A, Salerno E, Abdel-Salam ZA, Harith MA, Marras L, Botto A, Campanella B, Legnaioli S, Pagnotta S, Poggialini F, Palleschi V. Tonazzini A, et al. Among authors: salerno e. J Adv Res. 2019 Jan 12;17:31-42. doi: 10.1016/j.jare.2019.01.003. eCollection 2019 May. J Adv Res. 2019. PMID: 31193359 Free PMC article. Review.

9

Adaptive Langevin sampler for separation of t-distribution modelled astrophysical maps.

Kayabol K, Kuruoglu EE, Sanz JL, Sankur B, Salerno E, Herranz D. Kayabol K, et al. Among authors: salerno e. IEEE Trans Image Process. 2010 Sep;19(9):2357-68. doi: 10.1109/TIP.2010.2048613. Epub 2010 Apr 19. IEEE Trans Image Process. 2010. PMID: 20409994

10

Source separation in astrophysical maps using independent factor analysis.

Kuruoğlu EE, Bedini L, Paratore MT, Salerno E, Tonazzini A. Kuruoğlu EE, et al. Among authors: salerno e. Neural Netw. 2003 Apr-May;16(3-4):479-91. doi: 10.1016/S0893-6080(03)00018-2. Neural Netw. 2003. PMID: 12672442

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