ezralanglois's library 150 articles Export

	Particle picking by segmentation: A comparative study with SPIDER-based manual particle picking [My Copy] Journal of Structural Biology, Vol. 152, No. 3. (December 2005), pp. 211-220. by Umesh Adiga, William T. Baxter, Richard J. Hall, et al.Beate Rockel, Bimal K. Rath, Joachim Frank, Robert Glaeser posted to particle-selection cryoem by ezralanglois on 2009-09-08 20:45:24 as
	FindEM--a fast, efficient program for automatic selection of particles from electron micrographs [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 91-99. by A. M. Roseman posted to particle-selection cryoem automatic-particle-selection aap-template by ezralanglois on 2009-09-08 20:45:24 as
	Particle-verification for single-particle, reference-based reconstruction using multivariate data analysis and classification [My Copy] Journal of Structural Biology, Vol. 164, No. 1. (October 2008), pp. 41-48. by Tanvir R. Shaikh, Ramon Trujillo, Jamie S. LeBarron, William T. Baxter, Joachim Frank posted to particle-verification particle-selection particle-ranking cryoem by ezralanglois on 2009-09-08 20:45:24 as
	Automatic particle selection from electron micrographs using machine learning techniques [My Copy] Journal of Structural Biology, Vol. 167, No. 3. (September 2009), pp. 252-260. by C, E. Recarte, M. Alcorlo, et al.J.R. Bilbao-Castro, C. San-Martín, R. Marabini, J posted to particle-selection cryoem automatic-particle-selection app-classification by ezralanglois on 2009-09-08 20:45:24 as
	Application of template matching technique to particle detection in electron micrographs [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 29-40. by Zhong Huang, Pawel A. Penczek posted to particle-selection cryoem automatic-particle-selection app-template by ezralanglois on 2009-09-08 20:45:24 as
	Fast automatic particle picking from cryo-electron micrographs using a locally normalized cross-correlation function: a case study [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 84-90. by B. K. Rath, J. Frank posted to particle-selection cryoem automatic-particle-selection app-local-correlation-function by ezralanglois on 2009-09-08 20:45:24 as
	Model-based particle picking for cryo-electron microscopy [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 157-167. by H. Chi Wong, Jindong Chen, Fabrice Mouche, Isabelle Rouiller, Marshall Bern posted to particle-selection cryoem automatic-particle-selection app-maximum-likelihood by ezralanglois on 2009-09-08 20:45:24 as
	Auto-accumulation method using simulated annealing enables fully automatic particle pickup completely free from a matching template or learning data [My Copy] Journal of Structural Biology, Vol. 146, No. 3. (June 2004), pp. 344-358. by Toshihiko Ogura, Chikara Sato posted to particle-selection cryoem automatic-particle-selection app-simulated-annealing by ezralanglois on 2009-09-08 20:45:24 as
	TYSON: Robust searching, sorting, and selecting of single particles in electron micrographs [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 76-83. by J. R. Plaisier, R. I. Koning, H. K. Koerten, M. van Heel, J. P. Abrahams posted to particle-selection cryoem automatic-particle-selection app-template by ezralanglois on 2009-09-08 20:45:24 as
	Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 123-141. by Vivek Singh, Dan C. Marinescu, Timothy S. Baker posted to particle-selection cryoem automatic-particle-selection app-markov-random-fields by ezralanglois on 2009-09-08 20:45:24 as
	A binary segmentation approach for boxing ribosome particles in cryo EM micrographs [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 142-151. by P. S. Umesh Adiga, Ravi Malladi, William Baxter, Robert M. Glaeser posted to particle-selection cryoem automatic-particle-selection app-segmentation by ezralanglois on 2009-09-08 20:45:24 as
	A two step approach for semi-automated particle selection from low contrast cryo-electron micrographs [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 19-28. by Richard J. Hall, Ardan Patwardhan posted to particle-selection cryoem automatic-particle-selection app-neural-network app-clustering by ezralanglois on 2009-09-08 20:45:24 as
	Detecting particles in cryo-EM micrographs using learned features [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 52-62. by Satya P. Mallick, Yuanxin Zhu, David Kriegman posted to particle-selection cryoem automatic-particle-selection app-adaboost by ezralanglois on 2009-09-08 20:45:24 as
	Automatic particle pickup method using a neural network has high accuracy by applying an initial weight derived from eigenimages: a new reference free method for single-particle analysis [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 63-75. by Toshihiko Ogura, Chikara Sato posted to particle-selection cryoem automatic-particle-selection app-principal-component-analysis app-neural-network by ezralanglois on 2009-09-08 20:45:24 as
	SLEUTH--a fast computer program for automatically detecting particles in electron microscope images [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 100-110. by Judith M. Short posted to particle-selection cryoem automatic-particle-selection by ezralanglois on 2009-09-08 20:45:24 as
	An approach to automated particle picking from electron micrographs based on reduced representation templates [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 152-156. by Niels Volkmann posted to particle-selection cryoem automatic-particle-selection app-template by ezralanglois on 2009-09-08 20:45:24 as
	Detecting circular and rectangular particles based on geometric feature detection in electron micrographs [My Copy] Journal of Structural Biology, Vol. 145, No. 1-2. (2004), pp. 168-180. by Zeyun Yu, Chandrajit Bajaj posted to particle-selection cryoem automatic-particle-selection app-shape by ezralanglois on 2009-09-08 20:45:24 as
	Review: Automatic Particle Detection in Electron Microscopy [My Copy] Journal of Structural Biology, Vol. 133, No. 2-3. (February 2001), pp. 90-101. by William V. Nicholson, Robert M. Glaeser posted to particle-selection-review particle-selection cryoem automatic-particle-selection by ezralanglois on 2009-09-08 20:45:24 as
	Protein-DNA Interactions: Amino Acid Conservation and the Effects of Mutations on Binding Specificity [My Copy] J. Mol. Biol., Vol. 320, No. 5. (2002), pp. 991-1009. by Nicholas M. Luscombe, Janet M. Thornton posted to paper_milres by ezralanglois on 2009-08-02 22:33:20 as
	Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem [My Copy] In Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence (2001), pp. 204-214. by Jean-Daniel Zucker, Yann Chevaleyre posted to paper_milres by ezralanglois on 2009-08-02 22:28:30 as
	On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes [My Copy] In Advances in Neural Information Processing Systems (NIPS), Vol. 14 (2001) by Andrew Y. Ng, Michael I. Jordan edited by T. Dietterich, S. Becker, Z. Ghahramani posted to paper_milres by ezralanglois on 2009-08-02 22:18:28 as along with 5 people j3xucite ecome iansimon 223rem kohei-h
	Insights into Protein-DNA Interactions through Structure Network Analysis [My Copy] PLoS Computational Biology, Vol. 4, No. 9. (5 September 2008), e1000170. by R. Sathyapriya, M. S. Vijayabaskar, Saraswathi Vishveshwara edited by Ruth Nussinov posted to paper_milres by ezralanglois on 2009-08-02 21:55:29 as
	Zinc Finger Proteins : From Atomic Contact to Cellular Function [My Copy] (2005) by Shiro Iuchi, Natalie Kuldell posted to paper_milres by ezralanglois on 2009-08-02 21:53:23 as
	Genomic and Molecular Neuro-Oncology [My Copy] (2003) edited by Wei Zhang, Gregory N. Fuller posted to paper_milres by ezralanglois on 2009-08-02 21:48:16 as
	Enzymatic Binding of Valine to the 3' End of TYMV-RNA [My Copy] Nature, Vol. 226, No. 5249. (6 June 1970), pp. 954-956. by M. Pinck, P. Yot, F. Chapeville, H. M. Duranton posted to paper_milres by ezralanglois on 2009-08-02 21:29:49 as
	Predicting DNA-binding Sites of Proteins from Amino Acid Sequence [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006), pp. 262-272. by Changhui Yan, Michael Terribilini, Feihong Wu, Robert Jernigan, Drena Dobbs, Vasant Honavar posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	Logistic Regression and Boosting for Labeled Bags of Instances [My Copy] In Advances in Knowledge Discovery and Data Mining, Vol. 3056 (2004), pp. 272-281. by Xin Xu, Eibe Frank edited by Honghua Dai, Chengqi Zhang, Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	ANN-Spec: a method for discovering transcription factor binding sites with improved specificity [My Copy] In Pacific Symposium on Biocomputing (2000), pp. 467-478. by Ct, Gary D. Stormo posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	Multiple Instance Boosting for Object Detection [My Copy] In Advances in Neural Information Processing Systems, Vol. 18 (2006), pp. 1417-1424. by Paul Viola, John Platt, Cha Zhang edited by Bernhard Schölkopf Yair Weiss, John C. Platt posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	DISPLAR: an accurate method for predicting DNA-binding sites on protein surfaces [My Copy] Nucleic Acids Res., Vol. 35, No. 5. (March 2007), pp. 1465-1477. by Harianto Tjong, Huan X. Zhou posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation [My Copy] Proc. Natl. Acad. Sci. U.S.A., Vol. 96, No. 6. (Mar 1999), pp. 2907-2912. by Pablo Tamayo, Donna Slonim, Jill Mesirov, et al.Qing Zhu, Sutisak Kitareewan, Ethan Dmitrovsky, Eric S. Lander, Todd R. Golub posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	Efficient Prediction of Nucleic Acid Binding Function from Low-resolution Protein Structures [My Copy] J. Mol. Biol., Vol. 358, No. 3. (2006), pp. 922-933. by Andras Szilagyi, Jeffrey Skolnick posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	Computer Methods for Analyzing Sequence Recognition of Nucleic Acids [My Copy] Annual Review of Biophysics and Biophysical Chemistry, Vol. 17, No. 1. (1988), pp. 241-263. by Gary D. Stormo posted to paper_milres by ezralanglois on 2009-08-02 21:28:37 as
	DNA binding sites: representation and discovery [My Copy] Bioinformatics, Vol. 16, No. 1. (2000), pp. 16-23. by Gary D. Stormo posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Annotating Nucleic Acid-Binding Function Based on Protein Structure [My Copy] J. Mol. Biol., Vol. 326, No. 4. (2003), pp. 1065-1079. by Eric W. Stawiski, Lydia M. Gregoret, Yael M. Gutfreund posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Identifying DNA-binding proteins using structural motifs and the electrostatic potential [My Copy] Nucleic Acids Res., Vol. 32, No. 16. (2004), pp. 4732-4741. by Hugh P. Shanahan, Mario A. Garcia, Susan Jones, Janet M. Thornton posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Multiple-Instance Active Learning [My Copy] In Advances in Neural Information Processing Systems (NIPS), Vol. 20 (2008), pp. 1289-1296. by B. Settles, M. Craven, S. Ray posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	On Modeling Protein Superfamilies with Low Primary Sequence Conservation [My Copy] No. UNL-CSE-2003-4. (2003) by Stephen D. Scott, Haifeng Ji, Peggy Wen, Dimitri E. Fomenko, Vadim N. Gladyshev posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Improved Boosting Algorithms Using Confidence-rated Predictions [My Copy] Machine Learning, Vol. 37, No. 3. (1999), pp. 297-336. by Robert E. Schapire, Yoram Singer posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Supervised Versus Multiple Instance Learning: An Empirical Comparison [My Copy] In International Conference on Machine Learning, Vol. 22 (2005), pp. 697-704. by Soumya Ray, Mark Craven edited by Luc De Raedt, Stefan Wrobel posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Detecting DNA-binding Helix-turn-helix Structural Motifs Using Sequence and Structure Information [My Copy] Nucleic Acids Res., Vol. 33, No. 7. (2005), pp. 2129-2140. by Marialuisa P. Calace, Janet M. Thornton posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Boosting Algorithms as Gradient Descent [My Copy] In Advances in Neural Information Processing Systems, Vol. 12 (2000), pp. 512-518. by Llew Mason, Jonathan Baxter, Peter Bartlett, Marcus Frean edited by Sara A. Solla, Todd K. Leen, Klaus R. Müller posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Multiple-Instance Learning for Natural Scene Classification [My Copy] In International Conference on Machine Learning, Vol. 15 (1998), pp. 341-349. by Oded Maron, Aparna L. Ratan edited by Jude W. Shavlik posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	A Framework for Multiple-Instance Learning [My Copy] In Advances in Neural Information Processing Systems, Vol. 10 (1998), pp. 570-576. by Oded Maron, Tomás L. Pérez edited by Michael I. Jordan, Michael J. Kearns, Sara A. Solla posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Heterogeneous uncertainty sampling for supervised learning [My Copy] In In Proceedings of the Eleventh International Conference on Machine Learning (1994), pp. 148-156. by David D. Lewis, Jason Catlett posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	New Algorithms for Nonlinear Generalized Disjunctive Programming [My Copy] Computers and Chemical Engineering Journal, Vol. 24, No. 9-10. (2000), pp. 2125-2141. by Sangbum Lee, Ignacio posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Intelligible Machine Learning with Malibu for Bioinformatics and Medical Informatics [My Copy] In 30th Annual International Conference on the IEEE EMBS (2008), pp. 3795-3798. by Robert E. Langlois, Hui Lu posted to paper_milres by ezralanglois on 2009-08-02 21:28:36 as
	Improved Protein Fold Assignment Using Support Vector Machines [My Copy] Int. J. Bioinform. Res. Appl., Vol. 1, No. 3. (2006), pp. 319-334. by Robert E. Langlois, Alice Diec, Ognjen Perisic, Yang Dai, Hui Lu posted to paper_milres by ezralanglois on 2009-08-02 21:28:35 as
	Kernel Based Approach for Protein Fold Prediction from Sequence [My Copy] In 26th Annual International Conference on the IEEE EMBS (2004), pp. 2885-2888. by Robert E. Langlois, Alice Diec, Yang Dai, Hui Lu posted to paper_milres by ezralanglois on 2009-08-02 21:28:35 as
	Machine Learning for Protein Structure and Function Prediction [My Copy] Annual Reports in Computational Chemistry, Vol. 4 (2008), pp. 41-66. by Robert Langlois, Hui Lu posted to paper_milres by ezralanglois on 2009-08-02 21:28:35 as

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paper_milres	61
bibtex-import	36
paper_proteindna07	34
particle-selection	18
cryoem	18
automatic-particle-selection	16
app-template	3
app-neural-network	2
app-classification	1
app-clustering	1
particle-ranking	1
particle-verification	1
app-local-correlation-function	1
app-adaboost	1
app-simulated-annealing	1
app-segmentation	1
app-principal-component-analysis	1
app-markov-random-fields	1
particle-selection-review	1
aap-template	1
app-maximum-likelihood	1
app-shape	1

ezralanglois's library 150 articles Export

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