Cited By
View all- Hashemi RTyler ABahrami A(2008)The Use of Rough Sets as a Data Mining Tool for Experimental Bio-dataComputational Intelligence in Biomedicine and Bioinformatics10.1007/978-3-540-70778-3_3(69-91)Online publication date: 2008
Identifying and testing of signatures for non-volatile biomolecules using tandem mass spectra
Authors: 
Ray R. Hashemi, Theresa M. Schafer, William G. Hinson, Jackson O. Lay, Jr.Authors Info & Claims
Ray R. Hashemi, Theresa M. Schafer, William G. Hinson, Jackson O. Lay, Jr.Authors Info & ClaimsPages 44 - 49
References
[1]
Bryant M. S., Freeman J. P., Lay, Jr. J. O., Proceedings of The 38th ASMS Conference on Mass Spectrometry and Allied Topics, Tuscan, AZ, pp: 962-963, 1990
[2]
Bryant M. S., Lay, Jr. J. O., and Chiarelli M. P., Development of Fast Atom Bombardment Mass Spectral Methods for the Identification of Carcinogen- Nucleoside Adducts, The Journal of American Society for Mass Spectrometry. No. 3, pp: 360-371, 1992.
[3]
Fausett L., Fundamentals of Neural Networks: Arhitecture. Algorithms and Applications prentice Hall pp 169-186, 1994.
[4]
Hashemi R.R, Chowdhury A., Stafford N., Talburt J., Prediction Capability of Neural Networks Trained in Monte-Carlo Paradigm, Proceedings of The 1993 ACM Applied Computing Conference (SAC'93). 1993, pp 9-13.
[5]
Hashemi R. R., Le Blanc L, Rucks C., Sheary A., A neural Network for Transportation Safety Modeling, International Journal of Expert Systems With Applications Vol. 9, NO. 3, pp:247-256, 1995.
[6]
Hashemi R. R., Stafford N., A Backpropogation Neural Network for Risk Assessment, Proceedings of The 1993 IEEE International Phoenix Conference on Computers and Communications (IEEE IPCCC-93). Scottsdale, AZ., 1993, pp 565-570.
[7]
Hashemi R. R., Talburt J. R., Velusamy M., A Neural Network as a Quality Control Monitor of an Intelligent System, Proceedings of The 1995 ACM Applied Computing Conference (SAC'95). Nashville, TN., 1995, pp 400-407.
[8]
McLaffuty F. W., Interpretation of Mass Spectra. 2nd Ed., W. A. Binjanin Inc., Reading MA, pp 201 - 202, 1973.
[9]
Zurada J. M., Indroduction to Artificial Neural System West Publishing Co., pp: 56-57, 1992.
Index Terms
- Identifying and testing of signatures for non-volatile biomolecules using tandem mass spectra
Recommendations
Identifying and testing of signatures for non-volatile biomolecules using tandem mass spectra
Identification of volatile and semi-volatile molecules using traditional electron ionization mass spectrometry has been successful. The major contributor to this success is the reproduceability of the mass spectra, which allow identification of ...
Application of dual tree complex wavelet transform in tandem mass spectrometry
Mass Spectrometry (MS) is a widely used technique in molecular biology for high throughput identification and sequencing of peptides (and proteins). Tandem mass spectrometry (MS/MS) is a specialised mass spectrometry technique whereby the sequence of ...
Non-metric similarity search of tandem mass spectra including posttranslational modifications
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ''in vitro'' sample. The sequences are not determined directly, but they must be interpreted from the mass spectra, ...
Comments
Information & Contributors
Information
Published In
February 1996
643 pages
ISBN:0897918207
DOI:10.1145/331119
Copyright © 1996 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- SIGAPP: ACM Special Interest Group on Applied Computing
- SIGBIOM: ACM Special Interest Group on Biomedical Computing
- SIGCUE: ACM Special Interest Group on Computer Uses In Education
- SIGAda: ACM Special Interest Group on Ada Programming Language
- SIGICE: ACM Special Interest Group on Individual Computing Environment
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 February 1996
Check for updates
Author Tags
Qualifiers
- Article
Conference
Acceptance Rates
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 187Total Downloads
- Downloads (Last 12 months)20
- Downloads (Last 6 weeks)4
Reflects downloads up to 10 Nov 2024
Other Metrics
Citations
Cited By
View all- Hashemi RTyler ABahrami A(2008)The Use of Rough Sets as a Data Mining Tool for Experimental Bio-dataComputational Intelligence in Biomedicine and Bioinformatics10.1007/978-3-540-70778-3_3(69-91)Online publication date: 2008
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in