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iris_2001's library [185 articles]

Recent papers added to iris_2001's library.
  • Clustering by Passing Messages Between Data Points.
    Science (11 January 2007)
    by Brendan JJ Frey, Delbert Dueck
  • Protein interaction maps for complete genomes based on gene fusion events.
    Nature, Vol. 402, No. 6757. (4 November 1999), pp. 86-90.
    posted to gene fusion by iris_2001 on 2008-07-23 07:00:57 as ** along with 4 people carlk balajis ruvido selrac
  • Detecting Protein Function and Protein-Protein Interactions from Genome Sequences
    Science, Vol. 285, No. 5428. (30 July 1999), pp. 751-753.
    by Edward M Marcotte, Matteo Pellegrini, Ho-Leung Ng, Danny W Rice, Todd O Yeates, David Eisenberg
  • Message-Passing Algorithms for the Prediction of Protein Domain Interactions from Protein-Protein Interaction Data
    Bioinformatics (17 July 2008), btn366.
    by Mudassar Iqbal, Alex A Freitas, Colin G Johnson, Massimo Vergassola
    posted to propagation ppi ddi belief by iris_2001 on 2008-07-23 06:14:10 as ** along with 1 person phoenixzxl
  • ROC Graphs: Notes and Practical Considerations for Researchers
    Machine Learning (2004)
    by T Fawcett
    posted to roc r50 by iris_2001 on 2008-07-10 07:05:47 as ** along with 2 people and 1 group stanley lbatista LIVIA
  • Network inference, analysis, and modeling in systems biology.
    The Plant cell, Vol. 19, No. 11. (November 2007), pp. 3327-3338.
    by R Albert
    posted to review network analysis by iris_2001 on 2008-05-05 10:00:36 as **
  • Graph-based methods for analysing networks in cell biology.
    Brief Bioinform, Vol. 7, No. 3. (September 2006), pp. 243-255.
  • A mixture of feature experts approach for protein-protein interaction prediction.
    BMC bioinformatics, Vol. 8 Suppl 10 (2007)
    posted to regression prediction ppi logistic by iris_2001 on 2008-05-02 07:38:21 as **
  • Hierarchical Organization of Modularity in Metabolic Networks
    Science, Vol. 297, No. 5586. (30 August 2002), pp. 1551-1555.
    by E Ravasz, AL Somera, DA Mongru, ZN Oltvai, AL Barabasi
  • Lethality and centrality in protein networks
    Nature, Vol. 411, No. 6833. (3 May 2001), pp. 41-42.
    by H Jeong, SP Mason, AL Barabasi, ZN Oltvai
  • Collective dynamics of 'small-world' networks.
    Nature, Vol. 393, No. 6684. (4 June 1998), pp. 440-442.
    by DJ Watts, SH Strogatz
  • Assessing the limits of genomic data integration for predicting protein networks.
    Genome Res, Vol. 15, No. 7. (July 2005), pp. 945-953.
    by LJ Lu, Y Xia, A Paccanaro, H Yu, M Gerstein
  • Conserved network motifs allow protein-protein interaction prediction
    Bioinformatics, Vol. 20, No. 18. (2004), 3346.
    by Istvan Albert, Reka Albert
    posted to prediction ppi motif by iris_2001 on 2008-04-29 09:52:49 as ** along with 2 people cjeans Evangelia
  • Labeling network motifs in protein interactomes for protein function prediction
    Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on (2007), pp. 546-555.
    by Jin Chen, Wynne Hsu, Mong L Lee, See-Kiong Ng
    posted to protein motif functionppi by iris_2001 on 2008-04-29 09:14:35 as **
  • NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs
    (2006), pp. 106-115.
    by Jin Chen, Wynne Hsu, Mong L Lee, See-Kiong Ng
    posted to ppi motif denosing by iris_2001 on 2008-04-29 09:06:34 as **
  • Principles of protein-protein interactions.
    Proc Natl Acad Sci U S A, Vol. 93, No. 1. (9 January 1996), pp. 13-20.
    by S Jones, JM Thornton
    posted to principle ppi by iris_2001 on 2008-04-29 02:26:45 as ** along with 3 people bicko chad_davis Evangelia
  • Predicting protein--protein interactions from primary structure.
    Bioinformatics, Vol. 17, No. 5. (May 2001), pp. 455-460.
    by JR Bock, DA Gough
  • Development of unified statistical potentials describing protein-protein interactions.
    Biophys J, Vol. 84, No. 3. (March 2003), pp. 1895-1901.
    by H Lu, L Lu, J Skolnick
  • Analysis of proteins and proteomes by mass spectrometry.
    Annual review of biochemistry, Vol. 70 (2001), pp. 437-473.
    by M Mann, RC Hendrickson, A Pandey
    posted to spectrometry ppi mass complex by iris_2001 on 2008-04-24 14:40:54 as **
  • A generic protein purification method for protein complex characterization and proteome exploration.
    Nat Biotechnol, Vol. 17, No. 10. (October 1999), pp. 1030-1032.
    by G Rigaut, A Shevchenko, B Rutz, M Wilm, M Mann, B Séraphin
  • Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry.
    Nature, Vol. 415, No. 6868. (10 January 2002), pp. 180-183.
  • Functional organization of the yeast proteome by systematic analysis of protein complexes.
    Nature, Vol. 415, No. 6868. (10 January 2002), pp. 141-147.
  • Proteomics: biology in the post-genomic era. Companies all over the world rush to lead the way in the new post-genomics race.
    EMBO reports, Vol. 2, No. 7. (July 2001), pp. 558-560.
    by V Brower
    posted to proteomics by iris_2001 on 2008-04-23 07:13:38 as **
  • Prediction of protein function using protein-protein interaction data.
    J Comput Biol, Vol. 10, No. 6. (2003), pp. 947-960.
    by M Deng, K Zhang, S Mehta, T Chen, F Sun
  • Iterative classification in relational data
    (2000), pp. 13-20.
    by J Neville, D Jensen
    posted to classification collective by iris_2001 on 2008-01-06 14:40:04 as **
  • Local Probabilistic Models for Link Prediction
    (2007)
    by Chao Wang, Venu Satuluri, Srinivasan Parthasarathy
    posted to link prediction by iris_2001 on 2008-01-06 14:23:58 as **
  • Link Prediction using Supervised Learning
    by Mohammad A Hasan
    posted to link prediction by iris_2001 on 2008-01-06 14:14:38 as ** along with 1 person ChaTo
  • Prediction and ranking algorithms for event-based network data
    SIGKDD Explor. Newsl., Vol. 7, No. 2. (December 2005), pp. 23-30.
    by Joshua O'Madadhain, Jon Hutchins, Padhraic Smyth
    posted to link prediction by iris_2001 on 2008-01-06 14:12:43 as ** along with 3 people eldaly bigbossman kohei-h
  • Markov logic networks
    Machine Learning, Vol. 62, No. 1-2. (February 2006), pp. 107-136.
    by Matthew Richardson, Pedro Domingos
    posted to mln srl by iris_2001 on 2008-01-06 14:08:13 as ** along with 2 people iansimon roys
  • Learning probabilistic models of link structure
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 679-707.
    by Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
    posted to link prediction prm by iris_2001 on 2008-01-06 14:04:45 as ** along with 3 people lyongu wnpx student_t
  • Statistical Relational Learning for Link Prediction
    (2003)
    by Alexandrin Popescul, Lyle H Ungar
    posted to link prediction srl by iris_2001 on 2008-01-06 14:00:51 as **
  • Link Prediction Based on Graph Topology: The Predictive Value of the Generalized Clustering Coefficient
    (2006)
    by Z Huang
    posted to link prediction topology by iris_2001 on 2008-01-06 13:53:04 as ** along with 1 person kohei-h
  • A Simple Relational Classifier
    (2003)
    posted to classification collective by iris_2001 on 2008-01-06 13:29:40 as **
  • Discriminative Probabilistic Models for Relational Data
    (2002), pp. 485-49.
    by Ben Tasker, Abbeel Pieter, Daphne Koller
    posted to classificaiton collective object rmn by iris_2001 on 2008-01-06 13:19:04 as ** along with 1 person roys
  • Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA
    (2003)
    edited by Tom Fawcett, Nina Mishra
  • Link-based Classification
    (2003), pp. 496-503.
    by Qing Lu, Lise Getoor
    edited by Tom Fawcett, Nina Mishra
  • Enhanced hypertext categorization using hyperlinks
    Vol. 27, No. 2. (June 1998), pp. 307-318.
    by Soumen Chakrabarti, Byron Dom, Piotr Indyk
  • Link prediction in relational data
    (2004)
    by B Taskar, M Wong, P Abbeel, D Koller
  • Link-based Classification
    Technical Report CS-TR-4858 (February 2007)
    by Prithviraj Sen, Lise Getoor
    posted to classification collective link-based link-mining by iris_2001 on 2007-12-14 06:17:33 as **
  • Supporting Relational Knowledge Discovery: Lessons in Architecture and Algorithm Design
    (2002)
    by J Neville, D Jensen
    posted to allpurpose feature kdd learning relational relationalmodels by iris_2001 on 2007-12-14 05:59:59 as **
  • Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22-26, 2007, Vancouver, British Columbia, Canada
    (2007)
    posted to cautious classification collective inference by iris_2001 on 2007-12-14 05:47:20 as **
  • Cautious Inference in Collective Classification
    (2007), pp. 596-601.
    by Luke Mcdowell, Kalyan M Gupta, David W Aha
    posted to cautious classification collective inference by iris_2001 on 2007-12-14 05:47:20 as **
  • Why collective inference improves relational classification
    (2004)
  • Leveraging relational autocorrelation with latent group models
    (2005), pp. 49-55.
    by Jennifer Neville, David Jensen
  • Constructing free-energy approximations and generalized belief propagation algorithms
    Information Theory, IEEE Transactions on, Vol. 51, No. 7. (2005), pp. 2282-2312.
    by JS Yedidia, WT Freeman, Y Weiss
  • The link-prediction problem for social networks
    Journal of the American Society for Information Science and Technology, Vol. 58, No. 7. (2007), pp. 1019-1031.
    by David Liben-Nowell, Jon Kleinberg
  • Classification in Networked Data: A Toolkit and a Univariate Case Study
    J. Mach. Learn. Res., Vol. 8 (2007), pp. 935-983.
    by Sofus A Macskassy, Foster Provost
    posted to classification collective by iris_2001 on 2007-11-30 01:09:35 as **
  • Combining Collective Classification and Link Prediction
    (2007)
    by Mustafa Bilgic, Galileo M Namata, Lise Getoor
    posted to classification collective link prediction by iris_2001 on 2007-11-29 14:01:17 as **
  • Global protein function prediction from protein-protein interaction networks.
    Nat Biotechnol, Vol. 21, No. 6. (June 2003), pp. 697-700.
  • Graph Sharpening plus Graph Integration: A Synergy that Improves Protein Functional Classification
    Bioinformatics (2007)
    by Hyunjung Shin, Andreas M Lisewski, Olivier Lichtarge
    posted to classification function graph integration protein sharpeninggraph by iris_2001 on 2007-11-01 05:05:49 as **
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