FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381051623> ?p ?o ?g. }

• W4381051623 endingPage "107681" @default.
• W4381051623 startingPage "107681" @default.
• W4381051623 abstract "Background and objective: Mechanistic-based Model simulations (MM) are an effective approach commonly employed, for research and learning purposes, to better investigate and understand the inherent behavior of biological systems. Recent advancements in modern technologies and the large availability of omics data allowed the application of Machine Learning (ML) techniques to different research fields, including systems biology. However, the availability of information regarding the analyzed biological context, sufficient experimental data, as well as the degree of computational complexity, represent some of the issues that both MMs and ML techniques could present individually. For this reason, recently, several studies suggest overcoming or significantly reducing these drawbacks by combining the above-mentioned two methods. In the wake of the growing interest in this hybrid analysis approach, with the present review, we want to systematically investigate the studies available in the scientific literature in which both MMs and ML have been combined to explain biological processes at genomics, proteomics, and metabolomics levels, or the behavior of entire cellular populations. Methods: Elsevier Scopus®, Clarivate Web of Science™and National Library of Medicine PubMed® databases were enquired using the queries reported in Table 1, resulting in 350 scientific articles. Results: Only 14 of the 350 documents returned by the comprehensive search conducted on the three major online databases met our search criteria, i.e. present a hybrid approach consisting of the synergistic combination of MMs and ML to treat a particular aspect of systems biology. Conclusions: Despite the recent interest in this methodology, from a careful analysis of the selected papers, it emerged how examples of integration between MMs and ML are already present in systems biology, highlighting the great potential of this hybrid approach to both at micro and macro biological scales." @default.
• W4381051623 created "2023-06-18" @default.
• W4381051623 creator A5019044698 @default.
• W4381051623 creator A5030101234 @default.
• W4381051623 creator A5042934091 @default.
• W4381051623 creator A5044617873 @default.
• W4381051623 creator A5070427663 @default.
• W4381051623 creator A5085080876 @default.
• W4381051623 date "2023-10-01" @default.
• W4381051623 modified "2023-09-25" @default.
• W4381051623 title "Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature review" @default.
• W4381051623 cites W1270845237 @default.
• W4381051623 cites W1586778826 @default.
• W4381051623 cites W1964756055 @default.
• W4381051623 cites W1964940342 @default.
• W4381051623 cites W1973652420 @default.
• W4381051623 cites W1973714307 @default.
• W4381051623 cites W1991199546 @default.
• W4381051623 cites W1992396120 @default.
• W4381051623 cites W2002562922 @default.
• W4381051623 cites W2008762482 @default.
• W4381051623 cites W2021700397 @default.
• W4381051623 cites W2029670310 @default.
• W4381051623 cites W2031000707 @default.
• W4381051623 cites W2069565851 @default.
• W4381051623 cites W2075278115 @default.
• W4381051623 cites W2079283960 @default.
• W4381051623 cites W2082418604 @default.
• W4381051623 cites W2082959764 @default.
• W4381051623 cites W2092578710 @default.
• W4381051623 cites W2096451472 @default.
• W4381051623 cites W2097936772 @default.
• W4381051623 cites W2102122585 @default.
• W4381051623 cites W2114888488 @default.
• W4381051623 cites W2122342005 @default.
• W4381051623 cites W2122834462 @default.
• W4381051623 cites W2125838338 @default.
• W4381051623 cites W2126921853 @default.
• W4381051623 cites W2133809942 @default.
• W4381051623 cites W2139070508 @default.
• W4381051623 cites W2146432559 @default.
• W4381051623 cites W2148239836 @default.
• W4381051623 cites W2151512117 @default.
• W4381051623 cites W2153355914 @default.
• W4381051623 cites W2154601808 @default.
• W4381051623 cites W2161374186 @default.
• W4381051623 cites W2167835497 @default.
• W4381051623 cites W2169215357 @default.
• W4381051623 cites W2265524016 @default.
• W4381051623 cites W2298025969 @default.
• W4381051623 cites W2330219538 @default.
• W4381051623 cites W2344816410 @default.
• W4381051623 cites W2498761000 @default.
• W4381051623 cites W2511208748 @default.
• W4381051623 cites W2586783706 @default.
• W4381051623 cites W2592867750 @default.
• W4381051623 cites W2594573607 @default.
• W4381051623 cites W2606575226 @default.
• W4381051623 cites W2618018983 @default.
• W4381051623 cites W2626108736 @default.
• W4381051623 cites W2726081578 @default.
• W4381051623 cites W2737675412 @default.
• W4381051623 cites W2763383283 @default.
• W4381051623 cites W2768149277 @default.
• W4381051623 cites W2786235792 @default.
• W4381051623 cites W2797883881 @default.
• W4381051623 cites W2801312853 @default.
• W4381051623 cites W2804500674 @default.
• W4381051623 cites W2809949684 @default.
• W4381051623 cites W2899283552 @default.
• W4381051623 cites W2899903294 @default.
• W4381051623 cites W2938321354 @default.
• W4381051623 cites W2978281981 @default.
• W4381051623 cites W2981228089 @default.
• W4381051623 cites W2994438151 @default.
• W4381051623 cites W2998675358 @default.
• W4381051623 cites W2999288267 @default.
• W4381051623 cites W3008834654 @default.
• W4381051623 cites W3022862056 @default.
• W4381051623 cites W3031514878 @default.
• W4381051623 cites W3045837217 @default.
• W4381051623 cites W3046630804 @default.
• W4381051623 cites W305858006 @default.
• W4381051623 cites W3083241614 @default.
• W4381051623 cites W3095069074 @default.
• W4381051623 cites W3116751683 @default.
• W4381051623 cites W3131419997 @default.
• W4381051623 cites W3133523400 @default.
• W4381051623 cites W3134764309 @default.
• W4381051623 cites W3147254695 @default.
• W4381051623 cites W3163993681 @default.
• W4381051623 cites W3192673885 @default.
• W4381051623 cites W3200128536 @default.
• W4381051623 cites W3203230207 @default.
• W4381051623 cites W4214951284 @default.
• W4381051623 cites W4220747123 @default.
• W4381051623 cites W4224275506 @default.
• W4381051623 cites W4229056709 @default.

• next