Parth Kothiya

dblp:197/8091 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-5495-9597ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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 · 50% Medical and health informatics · 50%

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

TopicWeightPapersLastEvidence papers
Medical and health informatics
dose-response modeling
0.312017
tcpl: the ToxCast pipeline for high-throughput screening data · Bioinform. 2017
Bioinformatics and computational biology › drug discovery
high-throughput screening
0.312017
tcpl: the ToxCast pipeline for high-throughput screening data · Bioinform. 2017

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

dose-response curve fitting · 0.3
YearPublicationVenuePosition
2017 tcpl: the ToxCast pipeline for high-throughput screening data
abstract
Motivation: Large high-throughput screening (HTS) efforts are widely used in drug development and chemical toxicity screening. Wide use and integration of these data can benefit from an efficient, transparent and reproducible data pipeline. Summary: The tcpl R package and its associated MySQL database provide a generalized platform for efficiently storing, normalizing and dose-response modeling of large high-throughput and high-content chemical screening data. The novel dose-response modeling algorithm has been tested against millions of diverse dose-response series, and robustly fits data with outliers and cytotoxicity-related signal loss. Availability and Implementation: tcpl is freely available on the Comprehensive R Archive Network under the GPL-2 license. Contact: [email protected].
Dayne L. Filer, Parth Kothiya, R. Woodrow Setzer, Richard S. Judson, Matthew T. Martin
Bioinform.2