Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ashraf Abou Tabl"'
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Genomic profiles among different breast cancer survivors who received similar treatment may provide clues about the key biological processes involved in the cells and finding the right treatment. More specifically, such profiling may help personalize
Externí odkaz:
https://doaj.org/article/ec80fd6550f442f5bd26efc0ca674dd8
Autor:
Ashraf Abou Tabl, Abedalrhman Alkhateeb, Huy Quang Pham, Luis Rueda, Waguih ElMaraghy, Alioune Ngom
Publikováno v:
Evolutionary Bioinformatics, Vol 14 (2018)
Analyzing the genetic activity of breast cancer survival for a specific type of therapy provides a better understanding of the body response to the treatment and helps select the best course of action and while leading to the design of drugs based on
Externí odkaz:
https://doaj.org/article/6c102c82e7f845d6a89c00123edd8b6a
Publikováno v:
International Journal of Industry and Sustainable Development. 2:1-14
Due to the technological advancement in Today’s manufacturing systems, a large amount of data is generated in different volume, velocity, and variety of kinds. Extracting information from these data and make a real-time decision is a big challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a10fc4e59003511c17ee6aef37080804
https://doi.org/10.21608/ijisd.2021.145552
https://doi.org/10.21608/ijisd.2021.145552
Publikováno v:
Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics.
Finding a set of gene biomarkers for each lymph node stage may help understand the progression's role throughout different stages. In this work, a deep neural network (ANN) is built based on gene expression profiles to predict the lymph node class. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61202bdfda8ebdbada07fa46d87174e
https://doi.org/10.1145/3459930.3471170
https://doi.org/10.1145/3459930.3471170
Publikováno v:
Deep Learning for Biomedical Data Analysis ISBN: 9783030716752
Human cell is a complex of interacting small molecules which work together to perform daily tasks of the cell. The reading and the measurements of this different molecules are called omics, where any dysfunction among these omics may cause different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29f6a0d581dfc356d692fd2e1da677ee
https://doi.org/10.1007/978-3-030-71676-9_11
https://doi.org/10.1007/978-3-030-71676-9_11
Publikováno v:
Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.
Breast cancer is the most common cancer among North American women and worldwide. In this paper, we present a deep learning model based on multiomics data integration to predict the five-year interval survival of breast cancer InClust 5. The data was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a55a27000d38ebe6c709d8e1b952a1d8
https://doi.org/10.1145/3388440.3415992
https://doi.org/10.1145/3388440.3415992
Publikováno v:
Network Modeling Analysis in Health Informatics and Bioinformatics. 9
Increasing the survival rates for breast cancer has gained significant researcher interest. However, current studies reveal that a small subset of gene makers can predict survivability for people with different breast cancer subtypes. In these studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4f78117bab4e05ccc6f820896c82c6
https://doi.org/10.1007/s13721-020-00249-4
https://doi.org/10.1007/s13721-020-00249-4
Autor:
Alioune Ngom, Abedalrhman Alkhateeb, Huy Quang Pham, Luis Rueda, Waguih ElMaraghy, Ashraf Abou Tabl
Publikováno v:
Evolutionary Bioinformatics, Vol 14 (2018)
Evolutionary Bioinformatics
Evolutionary Bioinformatics
Analyzing the genetic activity of breast cancer survival for a specific type of therapy provides a better understanding of the body response to the treatment and helps select the best course of action and while leading to the design of drugs based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8370fcdcc04610178da4ba60995de65
https://doaj.org/article/6c102c82e7f845d6a89c00123edd8b6a
https://doaj.org/article/6c102c82e7f845d6a89c00123edd8b6a
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783319787220
IWBBIO (1)
IWBBIO (1)
Studying breast cancer survivability among different patients who received various treatments may help to understand the relationship between the survivability and treatment therapy based on the gene expression. In this work, we built a classifier sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57df35b41c8f4e3adee34ecf3519e01
https://doi.org/10.1007/978-3-319-78723-7_14
https://doi.org/10.1007/978-3-319-78723-7_14
Publikováno v:
BCB
Studying the breast cancer survival genes information will help to enhance the treatment and save more patents life by identifying the genes biomarker to recommend the proper treatment type. That is why it is now a great challenge for researchers to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51e44a77ca6a9bab5cb0a087d77bc098
https://doi.org/10.1145/3107411.3108217
https://doi.org/10.1145/3107411.3108217