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Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data
(BioMed Central, 2017-09-19)
Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets ...
Linked functional annotation for differentially expressed gene (DEG) demonstrated using Illumina Body Map 2.0
(CEUR-WS.org, 2015-12-09)
Semantic Web technologies are core for the integration of
disparate data resources. It can be used to exploit data from next generation
sequencing (NGS) for therapeutic decisions regarding cancer. In
this manuscript, ...
Abstract A27: A linked data approach to discover HPV oncoprotiens and RB1 induced mutation associations for the retinoblastoma research
(American Association for Cancer Research, 2017-01)
Background: LOSS or GAIN in tumor suppressor gene RB1 play a significant role as in case of loss low penetrance where only 39% of eye at risk develops in retinoblastoma. This research covers the multiple mutation types and ...
Extending inner-ear anatomical concepts in the Foundational Model of Anatomy (FMA) ontology
(IEEE, 2015-11-02)
The inner ear is physically inaccessible in living
humans, which leads to unique difficulties in studying its
normal function and pathology as in other human organs.
Recently, biosimulation model has gained a significant ...
One size does not fit all: querying web polystores
(IEEE, 2019-01-17)
Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) supported by varied data models (CSV, JSON, ...
Linked data cased multi-omics integration and visualization for cancer decision networks
(Springer Verlag, 2018-12-30)
Visualization of Gene Expression (GE) is a challenging task since the number of genes and their associations are difficult to predict in various set of biological studies. GE could be used to understand tissue-gene-protein ...
Deep convolution neural network model to predict relapse in breast cancer
(IEEE, 2018-12-17)
A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ...