Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jael Sanyanda Wekesa"'
Autor:
Jael Sanyanda Wekesa, Michael Kimwele
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Accurate diagnosis is the key to providing prompt and explicit treatment and disease management. The recognized biological method for the molecular diagnosis of infectious pathogens is polymerase chain reaction (PCR). Recently, deep learning approach
Externí odkaz:
https://doaj.org/article/4148d4c532ce459e97bb63a7f7ffcfbb
Publikováno v:
Applied System Innovation, Vol 7, Iss 2, p 25 (2024)
Road traffic collisions are among the world’s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation usin
Externí odkaz:
https://doaj.org/article/b87e74751a684d6ab11d3de410c84889
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-15 (2021)
Abstract Background Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP). To understand the function of lncRNAs, a fundamental method is to identify which types
Externí odkaz:
https://doaj.org/article/f9627aec7351486a98db5eef487bf704
Publikováno v:
Cells, Vol 8, Iss 6, p 521 (2019)
Long non-protein-coding RNAs (lncRNAs) identification and analysis are pervasive in transcriptome studies due to their roles in biological processes. In particular, lncRNA-protein interaction has plausible relevance to gene expression regulation and
Externí odkaz:
https://doaj.org/article/7f21a6cfeb1a4118b25c33ff003dde02
Publikováno v:
Computers in Biology and Medicine. 157:106773
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f73fb71474ace7e2d3084346a50a4112
https://doi.org/10.1016/j.compbiomed.2023.106773
https://doi.org/10.1016/j.compbiomed.2023.106773
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-15 (2021)
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-15 (2021)
Background Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP). To understand the function of lncRNAs, a fundamental method is to identify which types of protei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2967ceb6599a24637b8755bf32c535
http://europepmc.org/articles/PMC8385908
http://europepmc.org/articles/PMC8385908
Publikováno v:
BIBM
Predicting lncRNA-protein association is essential for insights into fundamental biological processes and disease etiology in plants and animals. There has been an enormous increment in the number of identified long noncoding RNAs (lncRNAs). However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97107de725f7208d94183c746ea33f84
https://doi.org/10.1109/bibm49941.2020.9313431
https://doi.org/10.1109/bibm49941.2020.9313431
Publikováno v:
Genomics. 112(5)
Long non-coding RNAs (lncRNAs) play key roles in regulating cellular biological processes through diverse molecular mechanisms including binding to RNA binding proteins. The majority of plant lncRNAs are functionally uncharacterized, thus, accurate p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9fd264c1786a863936029daea95385b
https://pubmed.ncbi.nlm.nih.gov/32437848
https://pubmed.ncbi.nlm.nih.gov/32437848
Publikováno v:
Intelligent Computing Methodologies ISBN: 9783030267650
ICIC (3)
ICIC (3)
Plant long non-coding RNA (lncRNA) plays an important role in many biological processes, mainly through its interaction with RNA binding protein (RBP). To understand the function of lncRNA, a basic step is to determine which proteins are interacted w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119e57ede8a1ccf963c5befff3c60246
https://doi.org/10.1007/978-3-030-26766-7_33
https://doi.org/10.1007/978-3-030-26766-7_33
Publikováno v:
Mathematical Biosciences. 274:25-32
One of the challenging tasks of bioinformatics is to predict more accurate and confident protein functions from genomics and proteomics datasets. Computational approaches use a variety of high throughput experimental data, such as protein-protein int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7964c071af0360ebf892b792243650
https://doi.org/10.1016/j.mbs.2016.02.001
https://doi.org/10.1016/j.mbs.2016.02.001