Prediction of Disease–lncRNA Associations via Machine Learning and Big Data Approaches

Bonomo, Mariella; Placa, Armando La; Rombo, Simona E.

doi:10.1201/9781003142751-14

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An integrative framework, IntNetLncSim, is presented in [26] to infer lncRNA functional similarity by modeling the information flow in an integrated network that comprises both lncRNA related transcriptional and posttranscriptional information. An approach that relies on the analysis of lncRNAs related information stored in public databases, as well as their interactions with other types of molecules is described in [17,18]. In particular, large amounts of lncRNA-miRNA interactions (LMIs) have been collected in public databases, and plenty of experimentally confirmed MDAs are available as well.…”

Section: Prediction Of Lncrnas-diseases Associationsmentioning

confidence: 99%

“…The chapter is divided into three sections, each corresponding to three proposed approaches in previous chapters. In particular, most results of this PhD Thesis have been already pubblished in conferences proceedings [14,15,17,19], book chapters [18] and international journals [16]. The approaches described in the previous chapters have been implemented in Apache Spark (see Chapter 2.6.2).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge Extraction from Biological and Social Graphs

Bonomo

2022

New Trends in Database and Information Systems

Self Cite

View full text Add to dashboard Cite

The research presented in this PhD Thesis has been supported by different research projects. In particular, the PhD scholarship has been funded in part by the PRIN research project "Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond", grant n. 2017WR7SHH (MIUR). Moreover, participation to international conferences for the presentation of some of the obtained results has been possible also thanks to the funds by the GNCS research projects "Algorithms, methods and software tools for knowledge discovery in the context of Precision Medicine" (2020) and "Big knowledge graphs modelling and analysis for problem solving in the web and biological contexts" (2022, CUP E55F22000270001), provided by INDAM GNCS. All mentioned projects have also allowed to join very stimulating research meetings and events which have pushed toward interaction with other researchers working on related topics.

show abstract

Section: Prediction Of Lncrnas-diseases Associationsmentioning

confidence: 99%