Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Qifan Kuang"'
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S14, Pp 39-49 (2017)
Abstract Background Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of
Externí odkaz:
https://doaj.org/article/c00bc6d63348441a8dc2007e623cebb3
Autor:
Yongcheng Dong, Ziyan Huang, Qifan Kuang, Zhining Wen, Zhibin Liu, Yizhou Li, Yi Yang, Menglong Li
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-11 (2017)
Abstract Background TEs pervade mammalian genomes. However, compared with mice, fewer studies have focused on the TE expression patterns in rat, particularly the comparisons across different organs, developmental stages and sexes. In addition, TEs ca
Externí odkaz:
https://doaj.org/article/3b216b12f0484d209a3a31393f96ab0c
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0174436 (2017)
Hepatocellular carcinoma (HCC) is currently still a major factor leading to death, lacking of reliable biomarkers. Therefore, deep understanding the pathogenesis for HCC is of great importance. The emergence of circular RNA (circRNA) provides a new w
Externí odkaz:
https://doaj.org/article/1beb9de11c3040f7839f52bd2247f8f6
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e105889 (2014)
Early and accurate identification of adverse drug reactions (ADRs) is critically important for drug development and clinical safety. Computer-aided prediction of ADRs has attracted increasing attention in recent years, and many computational models h
Externí odkaz:
https://doaj.org/article/c836bf4cfcd244429735c94f6da5eb8c
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 172:241-247
Biomarker discovery plays an important role in cancer diagnosis and prognosis assessments. The biomarkers that could be applied among different cancer types are highly useful. Although many traditional feature selection algorithms have shown their po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed0e89eab950f4c25754bf6e07be0925
https://doi.org/10.1016/j.chemolab.2017.11.007
https://doi.org/10.1016/j.chemolab.2017.11.007
Autor:
Yizhou Li, Rong Li, Yan Li, Ziyan Huang, Yongcheng Dong, Yiming Wu, Qifan Kuang, Menglong Li, Qing Xiong
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 162:104-110
The prediction of drug-target interactions plays an important role in the drug discovery process, which serves to identify new drugs or novel targets for existing drugs. However, experimental methods for predicting drug-target interactions are expens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d973b8bd4c233ac8054eba870f015325
https://doi.org/10.1016/j.chemolab.2017.01.016
https://doi.org/10.1016/j.chemolab.2017.01.016
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 156:224-230
Benefiting from the high-throughput sequencing technologies, many single nucleotide variants (SNVs) among individuals have been detected. SNVs in gene code regions were known to possibly disrupt protein functions. For this, many efforts were devoted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f85f556e398c2e8974ffe186ab755246
https://doi.org/10.1016/j.chemolab.2016.05.012
https://doi.org/10.1016/j.chemolab.2016.05.012
Autor:
Tao Xu, Yuxiang Zhang, Xuemei Pu, Runyu Jing, Xuan He, Zhining Wen, Menglong Li, Minqi Wang, Qing Xiong, Qifan Kuang
Publikováno v:
RSC Advances. 6:4713-4722
We report a facile yet effective strategy of utilizing a combination of Fourier transform-infrared spectroscopy (FTIR) and multi-label algorithms, through which multi-components in polymer bonded explosives (PBXs) could be rapidly and simultaneously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dcc9413abba3fb6d4382c2335a975bc
https://doi.org/10.1039/c5ra20685e
https://doi.org/10.1039/c5ra20685e
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 18, Iss S14, Pp 39-49 (2017)
BMC Bioinformatics, Vol 18, Iss S14, Pp 39-49 (2017)
Background Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of histolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c911162b95fb2b43cd754c009bcdbe6b
https://pubmed.ncbi.nlm.nih.gov/29297280
https://pubmed.ncbi.nlm.nih.gov/29297280
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 144:71-79
Correctly and efficiently identifying associations between drugs and adverse drug reactions (ADRs) is critically important for drug development and clinical safety. Because of their low costs and high performance, many statistical and machine learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ef41c88c888cceb3c3792367a399a99
https://doi.org/10.1016/j.chemolab.2015.03.013
https://doi.org/10.1016/j.chemolab.2015.03.013