Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Xu-Qing Tang"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-11 (2021)
Abstract Background Liver cancer is a common malignant tumor in China, with high mortality. Its occurrence and development were thoroughly studied by high-throughput expression microarray, which produced abundant data on gene expression, mRNA quantif
Externí odkaz:
https://doaj.org/article/ba6a29593bfc45c6afc2ed48ac19be9a
Publikováno v:
IEEE Access, Vol 8, Pp 153202-153214 (2020)
The progression of a disease associates with changes in genomic activity, but it remains a challenge to screen genetic biomarkers for clinical applications. The disease progression, in dynamic network methods (DNM), can be analogous to an animated fi
Externí odkaz:
https://doaj.org/article/b211d04384c84e82858e235a3ca9f0bd
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S7, Pp 83-96 (2019)
Abstract Background Lung adenocarcinoma is the most common type of lung cancer, with high mortality worldwide. Its occurrence and development were thoroughly studied by high-throughput expression microarray, which produced abundant data on gene expre
Externí odkaz:
https://doaj.org/article/d10bf99500ee46bd84f9eec7a1025f41
Publikováno v:
Biology, Vol 9, Iss 10, p 339 (2020)
Gene transcription has been uncovered to occur in sporadic bursts. However, due to technical difficulties in differentiating individual transcription initiation events, it remains debated as to whether the burst size, frequency, or both are subject t
Externí odkaz:
https://doaj.org/article/f04d7ff0f2e844cebdf613276b31a015
Publikováno v:
Mathematical Problems in Engineering. 2022:1-13
Background. Cervical cancer is the most common gynecological malignancy, and its incidence has tended to be younger in recent years. Through the analysis of high-throughput expression data, the identification of key genes in cancer and healthy indivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14f7ce9d12c073c52020cb488f16c2cf
https://doi.org/10.1155/2022/4465007
https://doi.org/10.1155/2022/4465007
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-11 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Liver cancer is a common malignant tumor in China, with high mortality. Its occurrence and development were thoroughly studied by high-throughput expression microarray, which produced abundant data on gene expression, mRNA quantification a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c6a3737fb94be281b0e1efc3b1d428c
https://doaj.org/article/ba6a29593bfc45c6afc2ed48ac19be9a
https://doaj.org/article/ba6a29593bfc45c6afc2ed48ac19be9a
Autor:
Xu-Qing Tang, Lei Xue
Publikováno v:
Interdisciplinary Sciences: Computational Life Sciences. 13:683-692
One important challenge in the post-genomic era is to explore disease mechanisms by efficiently integrating different types of biological data. In fact, a single disease is usually caused through multiple genes products such as protein complexes rath
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c58696f925e3807942904e9626e65585
https://doi.org/10.1007/s12539-021-00432-9
https://doi.org/10.1007/s12539-021-00432-9
Publikováno v:
Interdisciplinary Sciences: Computational Life Sciences. 12:226-236
Hepatocellular carcinoma (HCC) is a common cancer of high mortality, mainly due to the difficulty in diagnosis during its clinical stage. Here we aim to find the gene biomarkers, which are of important significance for diagnosis and treatment. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a9c6f0c6ebdec63f3188bb3b9ddc2eb
https://doi.org/10.1007/s12539-020-00366-8
https://doi.org/10.1007/s12539-020-00366-8
Publikováno v:
IEEE Access, Vol 8, Pp 153202-153214 (2020)
The progression of a disease associates with changes in genomic activity, but it remains a challenge to screen genetic biomarkers for clinical applications. The disease progression, in dynamic network methods (DNM), can be analogous to an animated fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ce1ce71b3d76f8a98cf4b109ba3c2a6
https://ieeexplore.ieee.org/document/9145534/
https://ieeexplore.ieee.org/document/9145534/
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16:124-130
To screen differentially expressed genes quickly and efficiently in breast cancer, two gene microarray datasets of breast cancer, GSE15852 and GSE45255, were downloaded from GEO. By combining the Logistic Regression and Random Forest algorithm, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f5d502a4da26ad30970b927af6c4fc
https://doi.org/10.1109/tcbb.2018.2829519
https://doi.org/10.1109/tcbb.2018.2829519