• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 19,069
Next 10 →

The KEGG resource for deciphering the genome

by Minoru Kanehisa, Susumu Goto, Shuichi Kawashima, Yasushi Okuno, Masahiro Hattori - Nucleic Acids Res , 2004
"... A grand challenge in the post-genomic era is a complete computer representation of the cell and the organism, which will enable computational prediction of higher-level complexity of cellular processes and organism behavior from genomic information. Toward this end we have been developing a knowledg ..."
Abstract - Cited by 513 (24 self) - Add to MetaCart
A grand challenge in the post-genomic era is a complete computer representation of the cell and the organism, which will enable computational prediction of higher-level complexity of cellular processes and organism behavior from genomic information. Toward this end we have been developing a

for Meiosis and Other Cellular Processes in

by J Tu, W Song, M Carlson, Mol Cell Biol, Saccharomyces Cerevisiae , 1996
"... Protein phosphatase type 1 interacts with proteins required for meiosis and other cellular processes in Saccharomyces cerevisiae. ..."
Abstract - Add to MetaCart
Protein phosphatase type 1 interacts with proteins required for meiosis and other cellular processes in Saccharomyces cerevisiae.

Cluster analysis and display of genome-wide expression patterns’,

by Michael B Eisen , Paul T Spellman , Patrick O Brown , David Botstein - Proc. Natl. Acad. , 1998
"... ABSTRACT A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and th ..."
Abstract - Cited by 2895 (44 self) - Add to MetaCart
in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information

An Optimization Strategy for Cellular Processing

by R. Schneider, R. Hoffmann, C. Hochberger - Proceedings of the Second International Conference on Massively Parallel Computing Systems
"... When massively parallel processing comes to mind, Cellular Processing and run time optimization seem to stand on opposite sides. Normally, Cellular Processing is not considered as an application dependent task. However, the process of computation can be optimized with respect to application dependen ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
When massively parallel processing comes to mind, Cellular Processing and run time optimization seem to stand on opposite sides. Normally, Cellular Processing is not considered as an application dependent task. However, the process of computation can be optimized with respect to application

Cellular Processing Environment

by Christian Hochberger, Rolf Hoffmann, Klaus-Peter Völkmann, Stefan Waldschmidt
"... Cellular Processing is based on the computational model cellular automata and includes an appropriate software environment. The model is massively parallel because all cells can compute their local rule in parallel. The paper gives an overview of the developed software and hardware support. The lang ..."
Abstract - Add to MetaCart
Cellular Processing is based on the computational model cellular automata and includes an appropriate software environment. The model is massively parallel because all cells can compute their local rule in parallel. The paper gives an overview of the developed software and hardware support

The Large-Scale Organization of Metabolic Networks

by H. Jeong, B. Tombor, R. Albert, Z. N. Oltvai, A.-L. Barabási , 2000
"... In a cell or microorganism the processes that generate mass, energy, information transfer, and cell fate specification are seamlessly integrated through a complex network of various cellular constituents and reactions. However, despite the key role these networks play in sustaining various cellular ..."
Abstract - Cited by 609 (7 self) - Add to MetaCart
In a cell or microorganism the processes that generate mass, energy, information transfer, and cell fate specification are seamlessly integrated through a complex network of various cellular constituents and reactions. However, despite the key role these networks play in sustaining various cellular

FPGA Synthesis for Cellular Processing

by Stefan Waldschmidt, Christian Hochberger, Fachgebiet Mikroprogrammierung, Technische Hochschule Darmstadt - Proceedings of the 1995 IEEE/ACM International Workshop on Logic Synthesis , 1995
"... In this paper we present cellular processing as an interesting approach to parallel processing. We give a short description of the cellular processing machine CEPRA--8L that uses FPGAs to evaluate the cellular algorithm. A comparison between different types of descriptions for the algorithm leads us ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
In this paper we present cellular processing as an interesting approach to parallel processing. We give a short description of the cellular processing machine CEPRA--8L that uses FPGAs to evaluate the cellular algorithm. A comparison between different types of descriptions for the algorithm leads

Using Bayesian networks to analyze expression data

by Nir Friedman, Michal Linial, Iftach Nachman - Journal of Computational Biology , 2000
"... DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a “snapshot ” of transcription levels within the cell. A major challenge in computational biology is to uncover, from such measurements, gene/protein interactions and key biologica ..."
Abstract - Cited by 1088 (17 self) - Add to MetaCart
biological features of cellular systems. In this paper, we propose a new framework for discovering interactions between genes based on multiple expression measurements. This framework builds on the use of Bayesian networks for representing statistical dependencies. A Bayesian network is a graph-based model

Aging: a theory based on free radical and radiation chemistry

by Denham Harman, Ph. D - J Gerontol , 1956
"... The phenomenon of growth, decline and death-aging-has been the source of consider-able speculation (1, 8, 10). This cycle seems to be a more or less direct function of the meta-bolic rate and this in turn depends on the species (animal or plant) on which are super-imposed the factors of heredity and ..."
Abstract - Cited by 637 (2 self) - Add to MetaCart
and the effects of the stresses and strains of life-which alter the metabolic activity. The universality of this phenomenon sug-gests that the reactions which cause it are basic-ally the same in all living things. Viewing this process in the light of present day free radical and radiation chemistry

Real-Time Dynamic Voltage Scaling for Low-Power Embedded Operating Systems

by Padmanabhan Pillai, Kang G. Shin , 2001
"... In recent years, there has been a rapid and wide spread of nontraditional computing platforms, especially mobile and portable computing devices. As applications become increasingly sophisticated and processing power increases, the most serious limitation on these devices is the available battery lif ..."
Abstract - Cited by 501 (4 self) - Add to MetaCart
In recent years, there has been a rapid and wide spread of nontraditional computing platforms, especially mobile and portable computing devices. As applications become increasingly sophisticated and processing power increases, the most serious limitation on these devices is the available battery
Next 10 →
Results 1 - 10 of 19,069
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University