✦ LIBER ✦

Simple theoretical models for biochemical systems, with applications to DNA

✍ Scribed by R. Bonaccorsi; E. Scrocco; J. Tomasi

Book ID: 112828776
Publisher: Indian Academy of Sciences
Year: 1985
Tongue: English
Weight: 323 KB
Volume: 8
Category: Article
ISSN: 0250-5991
DOI: 10.1007/bf02702761

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Simple kinetic models with bistability a

Simple kinetic models with bistability applicable to a continuously stirred tank reactor system

✍ Antonín Tockstein 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 230 KB

Three kinetic systems composed of autocatalytic blocks A-B +C or A -tB +C +D are described. By parallel combinations of these two blocks systems with bistability have been found,

Model Checking for Combined Logics with

Model Checking for Combined Logics with an Application to Mobile Systems

✍ Massimo Franceschet; Angelo Montanari; Maarten de Rijke 📂 Article 📅 2004 🏛 Springer US 🌐 English ⚖ 229 KB

A model for stochastic hybrid systems wi

A model for stochastic hybrid systems with application to communication networks

✍ João P. Hespanha 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 482 KB

Simple Expression for Interchannel and I

Simple Expression for Interchannel and Intersymbol Interference Degradation in MSK Systems with Application to Systems with Gaussian Filters

✍ Korn, I. 📂 Article 📅 1982 🏛 IEEE 🌐 English ⚖ 388 KB

Simple adaptive control for a class of n

Simple adaptive control for a class of non-linear systems with application to robotics

✍ BAR-KANA, IZHAK; GUEZ, ALLON 📂 Article 📅 1990 🏛 Taylor and Francis Group 🌐 English ⚖ 794 KB

Simple models for repeated ordinal respo

Simple models for repeated ordinal responses with an application to a seasonal rhinitis clinical trial

✍ J. K. Lindsey; B. Jones; A. F. Ebbutt 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 165 KB 👁 2 views

In contrast to other models for ordinal data, the continuation ratio model can be fitted with standard statistical software. This makes it particularly appropriate for large clinical trials with ordinal response variables. In addition, when the trials are longitudinal, this model can be applied to i