✦ LIBER ✦

Gene networks and liar paradoxes

✍ Scribed by Mark Isalan

Publisher: John Wiley and Sons
Year: 2009
Tongue: English
Weight: 382 KB
Volume: 31
Category: Article
ISSN: 0265-9247
DOI: 10.1002/bies.200900072

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Assertion, denial, and the Liar Paradox

✍ Terence Parsons 📂 Article 📅 1984 🏛 Springer Netherlands 🌐 English ⚖ 800 KB

In Section 1 of this paper I will articulate a view that challenges these well-entrenched Fregean doctrines. In the remainder of the paper I will apply the ideas developed in Section 1 to two problems that grow out of certain standard solutions to the Liar Paradox.

The Liar paradox: Tangles and chains

✍ Tyler Burge 📂 Article 📅 1982 🏛 Springer Netherlands 🌐 English ⚖ 669 KB

Building developmental gene regulatory n

Building developmental gene regulatory networks

✍ Enhu Li; Eric H. Davidson 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 289 KB

Evolutionary innovation and stability in

Evolutionary innovation and stability in animal gene networks

✍ Eric H. Davidson; Douglas H. Erwin 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 190 KB

Dynamic visualization of expressed gene

Dynamic visualization of expressed gene networks

✍ Ingrid Remy; Stephen W. Michnick 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 453 KB

## Abstract Cellular biochemical machineries, what we call pathways, consist of dynamically assembling and disassembling macromolecular complexes. While our models for the organization of biochemical machines are derived largely from in vitro experiments, do they reflect their organization in livin

Stochastic modelling of gene regulatory

Stochastic modelling of gene regulatory networks

✍ Hana El Samad; Mustafa Khammash; Linda Petzold; Dan Gillespie 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 463 KB

## Abstract Gene regulatory networks are dynamic and stochastic in nature, and exhibit exquisite feedback and feedforward control loops that regulate their biological function at different levels. Modelling of such networks poses new challenges due, in part, to the small number of molecules involve