http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Israel Román‑Godínez (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Frequency spectra characterization of noncoding human genomic sequences
O. Paredes,Rebeca Romo‑Vázquez,Israel Román‑Godínez,Hugo Vélez‑Pérez,Ricardo A. Salido‑Ruiz,J. Alejandro Morales 한국유전학회 2020 Genes & Genomics Vol.42 No.10
Background Noncoding sequences have been demonstrated to possess regulatory functions. Its classifcation is challenging because they do not show well-defned nucleotide patterns that can correlate with their biological functions. Genomic signal processing techniques like Fourier transform have been employed to characterize coding and noncoding sequences. This transformation in a systematic whole-genome noncoding library, such as the ENCODE database, can provide evidence of a periodic behaviour in the noncoding sequences that correlates with their regulatory functions. Objective The objective of this study was to classify diferent noncoding regulatory regions through their frequency spectra. Methods We computed machine learning algorithms to classify the noncoding regulatory sequences frequency spectra. Results The sequences from diferent regulatory regions, cell lines, and chromosomes possessed distinct frequency spectra, and that machine learning classifers (such as those of the support vector machine type) could successfully discriminate among regulatory regions, thus correlating the frequency spectra with their biological functions Conclusion Our work supports the idea that there are patterns in the noncoding sequences of the genome.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
