Monaco A - Search Results

1

BioMaS: a modular pipeline for Bioinformatic analysis of Metagenomic AmpliconS.

Fosso B, Santamaria M, Marzano M, Alonso-Alemany D, Valiente G, Donvito G, Monaco A, Notarangelo P, Pesole G. Fosso B, et al. Among authors: monaco a. BMC Bioinformatics. 2015 Jul 1;16:203. doi: 10.1186/s12859-015-0595-z. BMC Bioinformatics. 2015. PMID: 26130132 Free PMC article.

2

MSA-PAD: DNA multiple sequence alignment framework based on PFAM accessed domain information.

Balech B, Vicario S, Donvito G, Monaco A, Notarangelo P, Pesole G. Balech B, et al. Among authors: monaco a. Bioinformatics. 2015 Aug 1;31(15):2571-3. doi: 10.1093/bioinformatics/btv141. Epub 2015 Mar 26. Bioinformatics. 2015. PMID: 25819080

3

DTI measurements for Alzheimer's classification.

Maggipinto T, Bellotti R, Amoroso N, Diacono D, Donvito G, Lella E, Monaco A, Antonella Scelsi M, Tangaro S. Maggipinto T, et al. Among authors: monaco a. Phys Med Biol. 2017 Mar 21;62(6):2361-2375. doi: 10.1088/1361-6560/aa5dbe. Epub 2017 Feb 24. Phys Med Biol. 2017. PMID: 28234631

4

DNA Multiple Sequence Alignment Guided by Protein Domains: The MSA-PAD 2.0 Method.

Balech B, Monaco A, Perniola M, Santamaria M, Donvito G, Vicario S, Maggi G, Pesole G. Balech B, et al. Among authors: monaco a. Methods Mol Biol. 2018;1746:173-180. doi: 10.1007/978-1-4939-7683-6_13. Methods Mol Biol. 2018. PMID: 29492894

5

Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019.

Lombardi A, Monaco A, Donvito G, Amoroso N, Bellotti R, Tangaro S. Lombardi A, et al. Among authors: monaco a. Front Psychiatry. 2021 Jan 20;11:619629. doi: 10.3389/fpsyt.2020.619629. eCollection 2020. Front Psychiatry. 2021. PMID: 33551880 Free PMC article.

6

A primer on machine learning techniques for genomic applications.

Monaco A, Pantaleo E, Amoroso N, Lacalamita A, Lo Giudice C, Fonzino A, Fosso B, Picardi E, Tangaro S, Pesole G, Bellotti R. Monaco A, et al. Comput Struct Biotechnol J. 2021 Jul 31;19:4345-4359. doi: 10.1016/j.csbj.2021.07.021. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 34429852 Free PMC article. Review.

7

A Machine Learning Approach to Parkinson's Disease Blood Transcriptomics.

Pantaleo E, Monaco A, Amoroso N, Lombardi A, Bellantuono L, Urso D, Lo Giudice C, Picardi E, Tafuri B, Nigro S, Pesole G, Tangaro S, Logroscino G, Bellotti R. Pantaleo E, et al. Among authors: monaco a. Genes (Basel). 2022 Apr 21;13(5):727. doi: 10.3390/genes13050727. Genes (Basel). 2022. PMID: 35627112 Free PMC article.

8

Shannon entropy approach reveals relevant genes in Alzheimer's disease.

Monaco A, Amoroso N, Bellantuono L, Lella E, Lombardi A, Monda A, Tateo A, Bellotti R, Tangaro S. Monaco A, et al. PLoS One. 2019 Dec 31;14(12):e0226190. doi: 10.1371/journal.pone.0226190. eCollection 2019. PLoS One. 2019. PMID: 31891941 Free PMC article.

9

Identifying potential gene biomarkers for Parkinson's disease through an information entropy based approach.

Monaco A, Pantaleo E, Amoroso N, Bellantuono L, Lombardi A, Tateo A, Tangaro S, Bellotti R. Monaco A, et al. Phys Biol. 2020 Dec 1;18(1):016003. doi: 10.1088/1478-3975/abc09a. Phys Biol. 2020. PMID: 33049726

10

A complex network approach reveals a pivotal substructure of genes linked to schizophrenia.

Monaco A, Monda A, Amoroso N, Bertolino A, Blasi G, Di Carlo P, Papalino M, Pergola G, Tangaro S, Bellotti R. Monaco A, et al. PLoS One. 2018 Jan 5;13(1):e0190110. doi: 10.1371/journal.pone.0190110. eCollection 2018. PLoS One. 2018. PMID: 29304112 Free PMC article.

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