Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tasmia Aqila"'
Publikováno v:
Data, Vol 4, Iss 2, p 81 (2019)
Two graph theoretic concepts—clique and bipartite graphs—are explored to identify the network biomarkers for cancer at the gene network level. The rationale is that a group of genes work together by forming a cluster or a clique-like structures t
Externí odkaz:
https://doaj.org/article/bbf5ae2a6540477ebad0954cad612f99
Publikováno v:
BIBM
Breast cancer is highly sporadic and heterogeneous in nature. Even the patients with same clinical stage do not cluster together in terms of genomic profiles such as mRNA expression. In order to prevent and cure breast cancer completely, it is essent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26445eb73e7e29854002f52120342a0a
https://doi.org/10.1109/bibm47256.2019.8983300
https://doi.org/10.1109/bibm47256.2019.8983300
Autor:
Mohammad Masum, Tasmia Aqila, Hyun Min Koh, Dae Hyun Song, Ananda Mohan Mondal, Mingon Kang, Nelson Zange Tsaku, Sai Chandra Kosaraju
Publikováno v:
BIBM
Automatic histopathological Whole Slide Image (WSI) analysis for cancer classification has been highlighted along with the advancements in microscopic imaging techniques, since manual examination and diagnosis with WSIs are time- and cost-consuming.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50cc6544b28c9ebb89b89dc18f0b951c
https://doi.org/10.1109/bibm47256.2019.8983226
https://doi.org/10.1109/bibm47256.2019.8983226
Autor:
Tasmia Aqila, Ananda Mohan Mondal
Publikováno v:
BCB
Longitudinal or time-series multiomics data for the same cohort of patients are necessary to understand the cancer dynamics or development. But no such data is available for cancer. Most of the time-series gene expression data for cancer genomes avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8da64b65350651267a06798b5989790f
https://doi.org/10.1145/3307339.3343253
https://doi.org/10.1145/3307339.3343253
Publikováno v:
Data
Volume 4
Issue 2
Data, Vol 4, Iss 2, p 81 (2019)
Volume 4
Issue 2
Data, Vol 4, Iss 2, p 81 (2019)
Two graph theoretic concepts&mdash
clique and bipartite graphs&mdash
are explored to identify the network biomarkers for cancer at the gene network level. The rationale is that a group of genes work together by forming a cluster or a clique
clique and bipartite graphs&mdash
are explored to identify the network biomarkers for cancer at the gene network level. The rationale is that a group of genes work together by forming a cluster or a clique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab4a77546eecfebc70eb237810e11a46
Publikováno v:
2016 9th International Conference on Electrical and Computer Engineering (ICECE).
Concurrent data structures may introduce a performance and scalability holdup and thus prevent the effective use of parallel hardware. There is a trade-off between scalable performance and precision in implementing concurrent data structures. A remed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2350245e30acdef58f17799629a73ac5
https://doi.org/10.1109/icece.2016.7853907
https://doi.org/10.1109/icece.2016.7853907