Results 31 to 40 of about 1,005,916 (291)

Attraction basins as gauges of robustness against boundary conditions in biological complex systems. [PDF]

PLoS ONE, 2010
One fundamental concept in the context of biological systems on which researches have flourished in the past decade is that of the apparent robustness of these systems, i.e., their ability to resist to perturbations or constraints induced by external or ...
Jacques Demongeot, Eric Goles, Michel Morvan, Mathilde Noual, Sylvain Sené   +4 more
doaj   +1 more source

QoS routing in ad-hoc networks using GA and multi-objective optimization [PDF]

, 2011
Much work has been done on routing in Ad-hoc networks, but the proposed routing solutions only deal with the best effort data traffic. Connections with Quality of Service (QoS) requirements, such as voice channels with delay and bandwidth constraints ...
Barolli, Admir, Barolli, Leonard, Spaho, Evjola, Takizawa, Makoto, Xhafa Xhafa, Fatos   +4 more
core   +3 more sources

Canalization and Symmetry in Boolean Models for Genetic Regulatory Networks

, 2007
Canalization of genetic regulatory networks has been argued to be favored by evolutionary processes due to the stability that it can confer to phenotype expression.
C J Olson Reichhardt, Grefenstette J, Harrison M A, Harrison M A, Kauffman S A, Kevin E Bassler, Pólya G, Waddington C H, Walker C C   +8 more
core   +1 more source

Arsenic toxicity in the Drosophila brain at single cell resolution

Frontiers in Toxicology
Arsenic is an ubiquitous environmental toxicant with harmful physiological effects, including neurotoxicity. Modulation of arsenic-induced gene expression in the brain cannot be readily studied in human subjects. However, Drosophila allows quantification
Anurag Chaturvedi, Vijay Shankar, Bibhu Simkhada, Rachel A. Lyman, Patrick Freymuth, Elisabeth Howansky, Katelynne M. Collins, Trudy F. C. Mackay, Robert R. H. Anholt   +8 more
doaj   +1 more source

A publish-subscribe model of genetic networks. [PDF]

PLoS ONE, 2008
We present a simple model of genetic regulatory networks in which regulatory connections among genes are mediated by a limited number of signaling molecules.
Brett Calcott, Duygu Balcan, Paul A Hohenlohe   +2 more
doaj   +1 more source

Spatial genetic structure in the saddled sea bream (Oblada melanura [Linnaeus, 1758]) suggests multi-scaled patterns of connectivity between protected and unprotected areas in the Western Mediterranean Sea [PDF]

, 2016
Marine protected areas (MPAs) and networks of MPAs are advocated worldwide for the achievement of marine conservation objectives. Although the knowledge about population connectivity is considered fundamental for the optimal design of MPAs and networks ...
Calo A., Garcia-Charton J. A., Munoz I., Perez-Ruzafa A., Vergara-Chen C.   +4 more
core   +1 more source

The conditional nature of genetic interactions: the consequences of wild-type backgrounds on mutational interactions in a genome-wide modifier screen. [PDF]

PLoS Genetics, 2013
The phenotypic outcome of a mutation cannot be simply mapped onto the underlying DNA variant. Instead, the phenotype is a function of the allele, the genetic background in which it occurs and the environment where the mutational effects are expressed ...
Sudarshan Chari, Ian Dworkin
doaj   +1 more source

Optimization the initial weights of artificial neural networks via genetic algorithm applied to hip bone fracture prediction [PDF]

, 2012
This paper aims to find the optimal set of initial weights to enhance the accuracy of artificial neural networks (ANNs) by using genetic algorithms (GA).
Abbod, MF, Chang, Y-T, Lin, J, Shieh, J-S   +3 more
core   +3 more sources

Function approximation approach to the inference of reduced NGnet models of genetic networks

BMC Bioinformatics, 2008
Background The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of models have been proposed to describe genetic regulatory networks, this study
Maeda Hideki, Yamane Soichiro, Sonoda Katsuki, Kimura Shuhei, Matsumura Koki, Hatakeyama Mariko   +5 more
doaj   +1 more source

Detection of regulator genes and eQTLs in gene networks

, 2016
Genetic differences between individuals associated to quantitative phenotypic traits, including disease states, are usually found in non-coding genomic regions.
A Butte, A Chatr-Aryamontri, A Clauset, A Joshi, A Joshi, A Kundaje, AA Shabalin, AJ Enright, AJ Walhout, AS Dimas, B Schwanhausser, B Zhang, B Zhang, C Cenik, CO Daub, D Koller, DA Cusanovich, DM Greenawalt, E Bonnet, E Ravasz, E Segal, EC Neto, EC Neto, EC Neto, EE Schadt, EE Schadt, EE Schadt, EE Schadt, EE Schadt, EJ Foss, F Grubert, F Yue, FA Cubillos, FW Albert, G Hemani, G Nicholson, GD Smith, GH Golub, H Foroughi Asl, H Talukdar, HN Kadarmideen, J Millstein, J Qi, J Zhu, J Zhu, J Zhu, JE Aten, JF Ayroles, JJ Faith, JL Björkegren, JS Liu, K Basso, K Qu, KG Ardlie, L Wu, LA Hindorff, LH Hartwell, LS Chen, M Ashburner, M Civelek, M Georges, M Gerstein, M Medvedovic, M Schmidt, M Scutari, MA Schaub, MB Eisen, MD Ritchie, ME Goddard, MEJ Newman, MEJ Newman, MV Rockman, MV Rockman, N Friedman, N Friedman, N Friedman, N Laird, O Stegle, P Langfelder, P Langfelder, P Langfelder, P Lu, R Sharan, R Sharan, RB Brem, RW Williams, S Lee, S Roy, S Tavazoie, SI Lee, SM Waszak, SS Rao, T Lappalainen, T Michoel, TA Manolio, TF Mackay, The ENCODE, TS Furey, VG Cheung, W Cookson, W Zhang, Y Chen, Y Li   +102 more
core   +1 more source