K Vijay-Shanker
Overview
Explore the profile of K Vijay-Shanker including associated specialties, affiliations and a list of published articles.
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38
Citations
522
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Recent Articles
1.
Wang Q, Olshin J, Vijay-Shanker K, Wu C
PLoS One
. 2023 Apr;
18(4):e0274042.
PMID: 37022994
Chinese hamster ovary (CHO) cells are widely used for mass production of therapeutic proteins in the pharmaceutical industry. With the growing need in optimizing the performance of producer CHO cell...
2.
Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, et al.
Glycobiology
. 2023 Feb;
33(5):354-357.
PMID: 36799723
Recent technological advances in glycobiology have resulted in a large influx of data and the publication of many papers describing discoveries in glycoscience. However, the terms used in describing glycan...
3.
Su P, Vijay-Shanker K
BMC Bioinformatics
. 2022 Apr;
23(1):120.
PMID: 35379166
Background: Recently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature. Since the adaptation to the biomedical domain, the...
4.
Roychowdhury D, Gupta S, Qin X, Arighi C, Vijay-Shanker K
Database (Oxford)
. 2021 May;
2021.
PMID: 34048547
microRNAs (miRNAs) are essential gene regulators, and their dysregulation often leads to diseases. Easy access to miRNA information is crucial for interpreting generated experimental data, connecting facts across publications and...
5.
Dingerdissen H, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, et al.
JCO Clin Cancer Inform
. 2020 Mar;
4:210-220.
PMID: 32142370
Purpose: The purpose of OncoMX knowledgebase development was to integrate cancer biomarker and relevant data types into a meta-portal, enabling the research of cancer biomarkers side by side with other...
6.
Su P, Li G, Wu C, Vijay-Shanker K
PLoS One
. 2019 Jul;
14(7):e0216913.
PMID: 31361753
Significant progress has been made in applying deep learning on natural language processing tasks recently. However, deep learning models typically require a large amount of annotated training data while often...
7.
Ren J, Li G, Ross K, Arighi C, McGarvey P, Rao S, et al.
Database (Oxford)
. 2018 Dec;
2018.
PMID: 30576489
Numerous efforts have been made for developing text-mining tools to extract information from biomedical text automatically. They have assisted in many biological tasks, such as database curation and hypothesis generation....
8.
Ding R, Qu Y, Wu C, Vijay-Shanker K
BMC Med Inform Decis Mak
. 2018 Dec;
18(Suppl 5):119.
PMID: 30526566
Background: The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Molecular...
9.
Gupta S, Dingerdissen H, Ross K, Hu Y, Wu C, Mazumder R, et al.
Database (Oxford)
. 2018 Jun;
2018.
PMID: 29860481
Gene expression levels affect biological processes and play a key role in many diseases. Characterizing expression profiles is useful for clinical research, and diagnostics and prognostics of diseases. There are...
10.
Mahmood A, Rao S, McGarvey P, Wu C, Madhavan S, Vijay-Shanker K
PLoS One
. 2017 Dec;
12(12):e0189663.
PMID: 29261751
Tumor molecular profiling plays an integral role in identifying genomic anomalies which may help in personalizing cancer treatments, improving patient outcomes and minimizing risks associated with different therapies. However, critical...