Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281617097> ?p ?o ?g. }
- W4281617097 abstract "A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake images created within seconds—all those things that have been unthinkable for a long time are now a part of our everyday lives. What these examples have in common is that they are realized by different means of machine learning (ML), a technology that has fundamentally changed many aspects of the modern world. The possibility to process enormous amount of data in multi-hierarchical, digital constructs has paved the way not only for creating intelligent systems but also for obtaining surprising new insight into many scientific problems. However, in the different areas of biosciences, which typically rely heavily on the collection of time-consuming experimental data, applying ML methods is a bit more challenging: Here, difficulties can arise from small datasets and the inherent, broad variability, and complexity associated with studying biological objects and phenomena. In this Review, we give an overview of commonly used ML algorithms (which are often referred to as “machines”) and learning strategies as well as their applications in different bio-disciplines such as molecular biology, drug development, biophysics, and biomaterials science. We highlight how selected research questions from those fields were successfully translated into machine readable formats, discuss typical problems that can arise in this context, and provide an overview of how to resolve those encountered difficulties." @default.
- W4281617097 created "2022-06-13" @default.
- W4281617097 creator A5002175793 @default.
- W4281617097 creator A5010965725 @default.
- W4281617097 date "2022-06-01" @default.
- W4281617097 modified "2023-10-01" @default.
- W4281617097 title "Machine learning approaches for biomolecular, biophysical, and biomaterials research" @default.
- W4281617097 cites W2012223636 @default.
- W4281617097 cites W2057000344 @default.
- W4281617097 cites W2090934881 @default.
- W4281617097 cites W2097964614 @default.
- W4281617097 cites W2226832866 @default.
- W4281617097 cites W2396196938 @default.
- W4281617097 cites W2432436793 @default.
- W4281617097 cites W2462044331 @default.
- W4281617097 cites W2482500386 @default.
- W4281617097 cites W2551944316 @default.
- W4281617097 cites W2565684601 @default.
- W4281617097 cites W2579354176 @default.
- W4281617097 cites W2590124693 @default.
- W4281617097 cites W2592479876 @default.
- W4281617097 cites W2592929672 @default.
- W4281617097 cites W2593744649 @default.
- W4281617097 cites W2594577230 @default.
- W4281617097 cites W2594817103 @default.
- W4281617097 cites W2606965643 @default.
- W4281617097 cites W2617227509 @default.
- W4281617097 cites W2748828099 @default.
- W4281617097 cites W2753039528 @default.
- W4281617097 cites W2753797983 @default.
- W4281617097 cites W2755176028 @default.
- W4281617097 cites W2757787785 @default.
- W4281617097 cites W2758460571 @default.
- W4281617097 cites W2761197040 @default.
- W4281617097 cites W2766329790 @default.
- W4281617097 cites W2766362701 @default.
- W4281617097 cites W2766966300 @default.
- W4281617097 cites W2767123504 @default.
- W4281617097 cites W2768055745 @default.
- W4281617097 cites W2772316334 @default.
- W4281617097 cites W2776146695 @default.
- W4281617097 cites W2780266336 @default.
- W4281617097 cites W2781628627 @default.
- W4281617097 cites W2781821160 @default.
- W4281617097 cites W2782404771 @default.
- W4281617097 cites W2783908707 @default.
- W4281617097 cites W2784213390 @default.
- W4281617097 cites W2788484525 @default.
- W4281617097 cites W2791821920 @default.
- W4281617097 cites W2793643126 @default.
- W4281617097 cites W2793905111 @default.
- W4281617097 cites W2794569677 @default.
- W4281617097 cites W2794590714 @default.
- W4281617097 cites W2795012212 @default.
- W4281617097 cites W2796067692 @default.
- W4281617097 cites W2796229351 @default.
- W4281617097 cites W2796889554 @default.
- W4281617097 cites W2799747333 @default.
- W4281617097 cites W2800139390 @default.
- W4281617097 cites W2800440295 @default.
- W4281617097 cites W2800722845 @default.
- W4281617097 cites W2801312853 @default.
- W4281617097 cites W2802280146 @default.
- W4281617097 cites W2804340390 @default.
- W4281617097 cites W2804933096 @default.
- W4281617097 cites W2805364977 @default.
- W4281617097 cites W2809642602 @default.
- W4281617097 cites W2809949684 @default.
- W4281617097 cites W2822024738 @default.
- W4281617097 cites W2833435107 @default.
- W4281617097 cites W2860192827 @default.
- W4281617097 cites W2884367402 @default.
- W4281617097 cites W2884430236 @default.
- W4281617097 cites W2884586244 @default.
- W4281617097 cites W2884771495 @default.
- W4281617097 cites W2886034601 @default.
- W4281617097 cites W2888959675 @default.
- W4281617097 cites W2889677957 @default.
- W4281617097 cites W2890909649 @default.
- W4281617097 cites W2894655723 @default.
- W4281617097 cites W2895084243 @default.
- W4281617097 cites W2898304109 @default.
- W4281617097 cites W2901250789 @default.
- W4281617097 cites W2901840819 @default.
- W4281617097 cites W2902825269 @default.
- W4281617097 cites W2903631495 @default.
- W4281617097 cites W2910030584 @default.
- W4281617097 cites W2911964244 @default.
- W4281617097 cites W2912104254 @default.
- W4281617097 cites W2912650418 @default.
- W4281617097 cites W2912735973 @default.
- W4281617097 cites W2913974538 @default.
- W4281617097 cites W2915130814 @default.
- W4281617097 cites W2917089854 @default.
- W4281617097 cites W2917335678 @default.
- W4281617097 cites W2917541250 @default.
- W4281617097 cites W2921628782 @default.
- W4281617097 cites W2924053240 @default.
- W4281617097 cites W2931005430 @default.
- W4281617097 cites W2932615465 @default.