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Vithal Madhira

dblp:324/8872 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › variant analysis
mutation analysis
0.612022
VOC-alarm: mutation-based prediction of SARS-CoV-2 variants of concern · Bioinform. 2022
Bioinformatics and computational biology › genomics
viral genomics
0.612022
VOC-alarm: mutation-based prediction of SARS-CoV-2 variants of concern · Bioinform. 2022

Methods — techniques the papers use, named apart from their topics

evolutionary simulation · 0.6entropy estimation · 0.6
YearPublicationVenuePosition
2022 VOC-alarm: mutation-based prediction of SARS-CoV-2 variants of concern
abstract
SUMMARY: Mutation is the key for a variant of concern (VOC) to overcome selective pressures, but this process is still unclear. Understanding the association of the mutational process with VOCs is an unmet need. Motivation: Here, we developed VOC-alarm, a method to predict VOCs and their caused COVID surges, using mutations of about 5.7 million SARS-CoV-2 complete sequences. We found that VOCs rely on lineage-level entropy value of mutation numbers to compete with other variants, suggestive of the importance of population-level mutations in the virus evolution. Thus, we hypothesized that VOCs are a result of a mutational process across the globe. Results: Analyzing the mutations from January 2020 to December 2021, we simulated the mutational process by estimating the pace of evolution, and thus divided the time period, January 2020-March 2022, into eight stages. We predicted Alpha, Delta, Delta Plus (AY.4.2) and Omicron (B.1.1.529) by their mutational entropy values in the Stages I, III, V and VII with accelerated paces, respectively. In late November 2021, VOC-alarm alerted that Omicron strongly competed with Delta and Delta plus to become a highly transmissible variant. Using simulated data, VOC-alarm also predicted that Omicron could lead to another COVID surge from January 2022 to March 2022. AVAILABILITY AND IMPLEMENTATION: Our software implementation is available at https://github.com/guangxujin/VOC-alarm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Vithal Madhira, Umit Topaloglu, Guangxu Jin
Bioinform.4
2021 COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort
Noha Sharafeldin, Vithal Madhira, Katie R. Bradwell, Qianqian Song 0002, Benjamin Bates, Yu R. Shao, Jing Su 0003, Alfred Anzalone, Timothym Bergquist, Sarah Cutrona, Ben S. Gerber, Peter N. Robinson, Justin Guinney, Umit Topaloglu
AMIA3