Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362657892> ?p ?o ?g. }
- W4362657892 abstract "Abstract Enhancers are non‐coding DNA elements that play a crucial role in enhancing the transcription rate of a specific gene in the genome. Experiments for identifying enhancers can be restricted by their conditions and involve complicated, time‐consuming, laborious, and costly steps. To overcome these challenges, computational platforms have been developed to complement experimental methods that enable high‐throughput identification of enhancers. Over the last few years, the development of various enhancer computational tools has resulted in significant progress in predicting putative enhancers. Thus, researchers are now able to use a variety of strategies to enhance and advance enhancer study. In this review, an overview of machine learning (ML)‐based prediction methods for enhancer identification and related databases has been provided. The existing enhancer‐prediction methods have also been reviewed regarding their algorithms, feature selection processes, validation techniques, and software utility. In addition, the advantages and drawbacks of these ML approaches and guidelines for developing bioinformatic tools have been highlighted for a more efficient enhancer prediction. This review will serve as a useful resource for experimentalists in selecting the appropriate ML tool for their study, and for bioinformaticians in developing more accurate and advanced ML‐based predictors." @default.
- W4362657892 created "2023-04-07" @default.
- W4362657892 creator A5040180866 @default.
- W4362657892 creator A5042484831 @default.
- W4362657892 creator A5057917795 @default.
- W4362657892 creator A5070578608 @default.
- W4362657892 date "2023-06-07" @default.
- W4362657892 modified "2023-10-14" @default.
- W4362657892 title "A comprehensive revisit of the machine‐learning tools developed for the identification of enhancers in the human genome" @default.
- W4362657892 cites W1531821806 @default.
- W4362657892 cites W1544691147 @default.
- W4362657892 cites W1807324513 @default.
- W4362657892 cites W1963981640 @default.
- W4362657892 cites W1965425724 @default.
- W4362657892 cites W1969770714 @default.
- W4362657892 cites W1986586739 @default.
- W4362657892 cites W1986865417 @default.
- W4362657892 cites W1987523347 @default.
- W4362657892 cites W1987839415 @default.
- W4362657892 cites W1988581590 @default.
- W4362657892 cites W1998306196 @default.
- W4362657892 cites W2016015848 @default.
- W4362657892 cites W2018363492 @default.
- W4362657892 cites W2030545812 @default.
- W4362657892 cites W2033904805 @default.
- W4362657892 cites W2045362835 @default.
- W4362657892 cites W2045901008 @default.
- W4362657892 cites W2060392690 @default.
- W4362657892 cites W2063815548 @default.
- W4362657892 cites W2068607091 @default.
- W4362657892 cites W2076154138 @default.
- W4362657892 cites W2077874719 @default.
- W4362657892 cites W2079407198 @default.
- W4362657892 cites W2082793267 @default.
- W4362657892 cites W2092390808 @default.
- W4362657892 cites W2102659607 @default.
- W4362657892 cites W2117792884 @default.
- W4362657892 cites W2123564569 @default.
- W4362657892 cites W2128817132 @default.
- W4362657892 cites W2132033095 @default.
- W4362657892 cites W2134854530 @default.
- W4362657892 cites W2137704220 @default.
- W4362657892 cites W2140240158 @default.
- W4362657892 cites W2140978723 @default.
- W4362657892 cites W2145144631 @default.
- W4362657892 cites W2151754128 @default.
- W4362657892 cites W2154746182 @default.
- W4362657892 cites W2154855927 @default.
- W4362657892 cites W2155484811 @default.
- W4362657892 cites W2161435642 @default.
- W4362657892 cites W2170747616 @default.
- W4362657892 cites W2171111703 @default.
- W4362657892 cites W2183523328 @default.
- W4362657892 cites W2409095766 @default.
- W4362657892 cites W2494121918 @default.
- W4362657892 cites W2557493613 @default.
- W4362657892 cites W2560048654 @default.
- W4362657892 cites W2565121836 @default.
- W4362657892 cites W2590653482 @default.
- W4362657892 cites W2591130492 @default.
- W4362657892 cites W2606675097 @default.
- W4362657892 cites W2620316885 @default.
- W4362657892 cites W2754164896 @default.
- W4362657892 cites W2765331947 @default.
- W4362657892 cites W2766812108 @default.
- W4362657892 cites W2767199852 @default.
- W4362657892 cites W2769418303 @default.
- W4362657892 cites W2772741766 @default.
- W4362657892 cites W2799357357 @default.
- W4362657892 cites W2807186140 @default.
- W4362657892 cites W2887694579 @default.
- W4362657892 cites W2892479680 @default.
- W4362657892 cites W2894289085 @default.
- W4362657892 cites W2900686784 @default.
- W4362657892 cites W2905629607 @default.
- W4362657892 cites W2914398292 @default.
- W4362657892 cites W2915815599 @default.
- W4362657892 cites W2945038365 @default.
- W4362657892 cites W2950980382 @default.
- W4362657892 cites W2951901532 @default.
- W4362657892 cites W2963393302 @default.
- W4362657892 cites W2967387109 @default.
- W4362657892 cites W2969158314 @default.
- W4362657892 cites W2996783813 @default.
- W4362657892 cites W2998882284 @default.
- W4362657892 cites W3005479890 @default.
- W4362657892 cites W3013230828 @default.
- W4362657892 cites W3014366315 @default.
- W4362657892 cites W3023787591 @default.
- W4362657892 cites W3059544492 @default.
- W4362657892 cites W3084198752 @default.
- W4362657892 cites W3088549359 @default.
- W4362657892 cites W3091885297 @default.
- W4362657892 cites W3096505797 @default.
- W4362657892 cites W3105440156 @default.
- W4362657892 cites W3106076745 @default.
- W4362657892 cites W3111355925 @default.
- W4362657892 cites W3126352312 @default.
- W4362657892 cites W3129125493 @default.
- W4362657892 cites W3134163647 @default.