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Katie Paul Friedman

dblp:313/4959 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-2710-1691ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 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 · 56% Medical and health informatics · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
dose-response modeling
0.612022
tcplfit2: an R-language general purpose concentration-response modeling package · Bioinform. 2022
Bioinformatics and computational biology › drug discovery
high-throughput screening
0.612022
tcplfit2: an R-language general purpose concentration-response modeling package · Bioinform. 2022
Bioinformatics and computational biology › genomics
toxicogenomics
0.212022
tcplfit2: an R-language general purpose concentration-response modeling package · Bioinform. 2022

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

curve fitting · 0.6
YearPublicationVenuePosition
2022 tcplfit2: an R-language general purpose concentration-response modeling package
abstract
SUMMARY: Many applications of chemical screening are performed in concentration or dose-response mode, and it is necessary to extract appropriate parameters, including whether the chemical/assay pair is active and if so, what are concentrations where activity is seen. Typically, multiple mathematical models or curve shapes are tested against the data to assess the best fit. There are several commercial programs used for this purpose as well as open-source libraries. A widely used system for managing high-throughput screening (HTS) concentration-response data is tcpl (ToxCast Pipeline). The current implementation of tcpl has the concentration-response modeling code tightly integrated with the data management and databasing aspects of HTS data processing. Tcplfit2 is a stand-alone version of the curve-fitting and hitcalling core of tcpl that has been extended to include a large number of standard curve classes and to use benchmark dose modeling. This package will be useful for HTS concentration-response data such as high-throughput whole genome transcriptomics. AVAILABILITY AND IMPLEMENTATION: tcplfit2 is written in R and is available from CRAN.
Thomas Sheffield, Sarah Davidson, Katie Paul Friedman, Richard S. Judson
Bioinform.4