Works (2)

Updated: December 2nd, 2023 05:01

2023 journal article

Cellular clarity: a logistic regression approach to identify root epidermal regulators of iron deficiency response

BMC GENOMICS, 24(1).

By: S. Schmittling n, D. Muhammad*, S. Haque*, T. Long n & C. Williams n

author keywords: Iron deficiency; Epidermis; Arabidopsis; Logistic regression; Gene regulatory network; RNA-seq
TL;DR: Machine learning approaches combined with additional static data identified putative regulators of -Fe response that would not have been identified solely through transcriptomic profiles and reveal how developmental and general stress responses within the epidermis may act upstream of more specialized -Fe responses for Fe uptake. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 27, 2023

2016 review

More than meets the eye: Emergent properties of transcription factors networks in Arabidopsis

[Review of ]. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS, 1860(1), 64–74.

By: D. Muhammad n, S. Schmittling n, C. Williams n & T. Long n

Contributors: D. Muhammad n, S. Schmittling n, C. Williams n & T. Long n

author keywords: Transcription factor networks (TFNs); Emergent properties; Mathematical modeling
MeSH headings : Arabidopsis / genetics; Arabidopsis / growth & development; Computational Biology / methods; Gene Expression Regulation, Plant / genetics; Gene Regulatory Networks / genetics; Plant Development / genetics; Stress, Physiological / genetics; Transcription Factors / genetics
TL;DR: This review highlights literature that provides, in part, experimental and computational techniques for characterizing Transcription Factor Networks and outlines methodologies that have been used to mathematically model the dynamic characteristics of TFNs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

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