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naegele library [134 articles]

Статьи, недавно добавленные в библиотеку naegele .
  • Large-Scale Genetic Network Learning
    (22 July 2008)
    by Andreas Nägele, Holger Arndt, Mathäus Dejori
    edited by A Tsakalides, L Skarlas
    posted to structure_learning own_publication genetic_network gene_expression by naegele on 2008-07-23 14:56:47 as **
  • Constraint-Based Structural Learning in Bayesian Networks using Finite Data Sets
    (18 May 2001)
    by Harald Steck
    posted to structure_learning constraint bayesian_network by naegele on 2008-07-11 14:19:52 as **
  • Causal Inference and Causal Explanation with Background Knowledge
    (August 1995), pp. 403-441.
    by Christopher Meek
    edited by Philippe Besnard, Steve Hanks
    posted to dag causality bayesian_network by naegele on 2008-07-10 13:50:54 as **
  • An algorithm for deciding if a set of observed independencies has a causal explanation
    (1992)
    by Thomas Verma, Judea Pearl
    edited by D Dubois, MP Wellman, B D'Ambrosio, P Smets
    posted to pdag causality by naegele on 2008-07-10 11:53:02 as **
  • A simple algorithm to construct a consistent extension of a partially oriented graph
    No. R-185. (October 1992)
    by Dorit Dor, Michael Tarsi
    posted to pdag by naegele on 2008-07-10 11:36:43 as **
  • A graphical characterization of lattice conditional independence models
    Annals of Mathematics and Artificial Intelligence, Vol. 21, No. 1. (1997), pp. 27-50.
    by Steen A Andersson, David Madigan, Michael D Perlman, Christopher M Triggs
    posted to independence graph by naegele on 2008-07-08 12:37:33 as **
  • A characterization of Markov equivalence classes for acyclic digraphs
    Annals of Statistics, Vol. 25, No. 2. (1997), pp. 505-541.
    by Steen A Andersson, David Madigan, David Madigan
    posted to equivalence_class dag by naegele on 2008-07-08 12:33:27 as **
  • On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs
    Scandinavian Journal of Statistics, Vol. 24, No. 1. (March 1997), pp. 81-102.
    by SA Andersson, D Madigan, MD Perlman
    posted to undirected_graph markov_equivalence dag chain_graph by naegele on 2008-07-07 16:05:23 as ** along with 1 person yaroslavvb
  • The chain graph Markov property
    Scandinavian Journal of Statistics, Vol. 17 (1990), pp. 333-353.
    by M Frydenberg
    posted to markov_equivalence chain_graph by naegele on 2008-07-07 15:59:36 as **
  • On chain graph models for description of conditional independence structures
    Annals of Statistics, Vol. 26, No. 4. (1998), pp. 1434-1495.
    by Remco R Bouckaert, Milan Studený
    posted to chain_graph by naegele on 2008-07-07 14:09:24 as **
  • Expert Systems and Probabilistic Network Models
    (13 December 1996)
    by Enrique Castillo, José M Gutiérrez, Ali S Hadi
    posted to graphical_model by naegele on 2008-07-07 14:02:35 as **
  • Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative
    Annals of Statistics, Vol. 17, No. 1. (1998), pp. 31-57.
    by Steffen L Lauritzen, Nanny Wermuth
    posted to graphical_model by naegele on 2008-07-07 13:55:58 as **
  • Mixed interaction models
    No. R-84-8. (1984)
    by Steffen L Lauritzen, Nanny Wermuth
    posted to graphical_model chain_graph by naegele on 2008-07-07 13:44:44 as **
  • Bayesian Network Induction via Local Neighborhoods
    (2000), pp. 505-511.
    by Dimitris Margaritis, Sebastian Thrun
    edited by Sara A Solla, Todd K Leen, Klaus-Robert Müller
    posted to markov machine_learning bayesian_network by naegele on 2008-07-07 12:37:39 as **
  • Ancestral graph Markov models
    Annals of Statistics, Vol. 30, No. 4. (2002), pp. 962-1030.
    by Thomas Richardson, Peter Spirtes
    posted to markov graphical_model by naegele on 2008-07-04 16:43:20 as **
  • Heuristic Greedy Search Algorithms for Latent Variable Models
    (1997), pp. 481-488.
    by Peter Spirtes, Thomas Richardson, Chris Meek
    posted to model latent_variable graphical_model by naegele on 2008-07-04 16:32:19 as **
  • A Transformational Characterization of Markov Equivalence for Directed Maximal Ancestral Graphs
    No. 168. (2005)
    by Jiji Zhang, Peter Spirtes
    posted to markov_equivalence ancestral_graph by naegele on 2008-07-04 16:15:53 as **
  • Markov Equivalence for Ancestral Graphs
    No. 466. (September 2004)
    by Ayesha R Ali, Thomas Richardson, Peter Spirtes
    posted to markov_equivalence ancestral_graph by naegele on 2008-07-04 15:43:04 as **
  • Learning Equivalence Classes of Bayesian-Network Structures
    Journal of Machine Learning Research, Vol. 2 (2002), pp. 445-498.
    by David M Chickering
    posted to structure_learning equivalence_class bayesian_network by naegele on 2008-07-02 12:14:38 as ** along with 2 people and 1 group helsley ible VivesMinions
  • Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference
    (01 September 1988)
    by Judea Pearl
    posted to graphical_models bayesian_network by naegele on 2008-06-05 12:26:38 as ** along with 11 people quianominorleo robotact tdlt leidner pcarbo fheintz wnpx wasteland93 fsteeg lcigler 1like
  • Graphical Models
    (25 July 1996)
    by Steffen L Lauritzen
    posted to graphical_models by naegele on 2008-06-05 12:22:59 as ** along with 3 people quianominorleo wnpx rsantana
  • Bayesian Networks and Decision Graphs
    (06 July 2001)
    by Finn V Jensen
    posted to graphical_models bayesian_network by naegele on 2008-06-05 12:17:51 as ** along with 4 people quianominorleo dariusb wnpx winschel
  • Probabilistic Networks and Expert Systems (Information Science and Statistics)
    (20 May 2003)
    by Robert G Cowell, Philip A Dawid, Steffen L Lauritzen, David J Spiegelhalter
    posted to graphical_models by naegele on 2008-06-05 12:14:56 as ** along with 2 people wnpx chechetka
  • Graphical Models
    Statistical Science (Special Issue on Bayesian Statistics), Vol. 19 (2004), pp. 140-155.
    by Michael Jordan
    posted to graphical_models bayesian_network by naegele on 2008-06-04 14:49:24 as ** along with 1 person dimatura
  • Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability & Statistics)
    (28 March 1990)
    by Joe Whittaker
    posted to graphical_models by naegele on 2008-06-03 16:14:07 as ** along with 1 person wnpx
  • Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments.
    BMC bioinformatics, Vol. 9 Suppl 1 (2008)
    by Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong Yan
    posted to microarray gene_expression bayesian by naegele on 2008-05-16 10:18:28 as **** along with 2 people jyuh jfr
  • Extraction of semantic biomedical relations from text using conditional random fields
    BMC Bioinformatics, Vol. 9, No. 1. (2008)
    by Markus Bundschus, Mathaeus Dejori, Martin Stetter, Volker Tresp, Hans P Kriegel
    posted to relation_extraction conditional_random_fields by naegele on 2008-04-23 09:39:50 as read along with 4 people TheresaNiederberger chad_davis jyuh bundschu
  • Adapting Bayes network structures to non-stationary domains
    International Journal of Approximate Reasoning, Vol. In Press, Uncorrected Proof
    by Soren H Nielsen, Thomas D Nielsen
    posted to bayesian_network nonstationary by naegele on 2008-04-02 13:09:51 as read
  • Network biology: understanding the cell's functional organization.
    Nature Reviews Genetics, Vol. 5, No. 2. (February 2004), pp. 101-113.
    by AL Barabási, ZN Oltvai
    posted to genetic_network scale-free by naegele on 2008-01-17 09:11:21 as ** along with 34 people and 11 groups hryk camster snuppepuppan dbk greg jyuh LeightonP hununu felciano mague kuhn textoris rhem1224 lfriedl balajis alexg wnpx jknabe adepace nickluscombe bundschu awooga jdiggans jeremymiller uprock timflutre mikaelhuss gcalda grahamc fishtank jayster4 Evangelia heliopais shikin streptomyces spliceml dbk-lab kdl EisenLab TCR_Signaling EBI-regulation SysbioMPI-TCells GeschwindLab generif_paper GeneGo
  • Missing value estimation methods for DNA microarrays.
    Bioinformatics, Vol. 17, No. 6. (June 2001), pp. 520-525.
    by Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown, Trevor Hastie, Robert Tibshirani, David Botstein, Russ B Altman
    posted to microarray missing_values by naegele on 2008-01-17 08:52:50 as ** along with 2 people btiwari lyongu
  • Informative structure priors: joint learning of dynamic regulatory networks from multiple types of data
    Pac Symp Biocomput (2005), pp. 459-470.
    by Allister Bernard, Alexander J Hartemink
    edited by Russ B Altman, Tiffany A Jung, Teri E Klein, Keith A Dunker, Lawrence Hunter
    posted to no-tag by naegele on 2008-01-17 08:37:38 as read along with 1 person helsley
  • Tractable Learning of Large Bayes Net Structures from Sparse Data
    Vol. 69 (2004)
    by Anna Goldenberg, Andrew Moore
    edited by Carla E Brodley
    posted to no-tag by naegele on 2008-01-16 15:40:53 as ** along with 2 people roys AlainDutech
  • Combining location and expression data for principled discovery of genetic regulatory network models.
    Pacific Symposium on Biocomputing (2002), pp. 437-449.
    by AJ Hartemink, DK Gifford, TS Jaakkola, RA Young
    posted to bayesian_network regulatory_network by naegele on 2008-01-16 11:48:39 as ** along with 5 people brl ldfu wnpx noano frohike
  • Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language
    Journal of Artificial Intelligence Research, Vol. 11 (1999), pp. 95-130.
    by Philip Resnik
    posted to information_content semantic_similarity by naegele on 2008-01-14 08:58:22 as read
  • KEGG: kyoto encyclopedia of genes and genomes.
    Nucleic Acids Research, Vol. 28, No. 1. (1 January 2000), pp. 27-30.
    by M Kanehisa, S Goto
    posted to kegg pathway by naegele on 2008-01-11 15:29:26 as * along with 11 people jerome_ucsf_slb natstreet grottenolm Evangelia dquest j3xucite fisherp koerner ruvido noby katerinakal
  • Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.
    Nature Genetics, Vol. 25, No. 1. (May 2000), pp. 25-29.
    by M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
    posted to gene_ontology by naegele on 2008-01-11 15:26:46 as ** along with 32 people and 5 groups roys dgront marck carlk pablomendes CitoJam aalibes miguel dragonrez lfriedl chad_davis yas balajis indigoviolet benny dullhunk nirfriedman fisherp caporaso helliontroy zlu gurkanbebek djkt massivemayhem incovoma leechuck aconesa sgoetz javamint bootsy PunkRock natstreet kdl Bioinformatics EisenLab T_lab biomedical-nlp
  • Genomics: Gene expression meets genetics
    Nature, Vol. 422, No. 6929. (20 March 2003), pp. 269-270.
    by Ariel Darvasi
    posted to gene_expression genetics by naegele on 2008-01-11 13:58:42 as read
  • Getting connected: analysis and principles of biological networks.
    Genes & Development, Vol. 21, No. 9. (1 May 2007), pp. 1010-1024.
    by Xiaowei Zhu, Mark Gerstein, Michael Snyder
    posted to biological_network genetic_network by naegele on 2008-01-11 13:45:38 as ** along with 9 people renatomilani carlk jfr balajis grahamc fishtank nedwards Evangelia kristen
  • The response to iron deprivation in Saccharomyces cerevisiae: expression of siderophore-based systems of iron uptake.
    Biochemical Society Transactions, Vol. 30, No. 4. (August 2002), pp. 698-702.
    by CC Philpott, O Protchenko, YW Kim, Y Boretsky, M Shakoury-Elizeh
    posted to iron_homeostasis yeast by naegele on 2008-01-11 10:17:34 as **
  • Exploratory and confirmatory gene expression profiling of mac1Delta
    The Journal Biological Chemistry, Vol. 279, No. 6. (8 October 2003), pp. 4450-8.
    by Jeane M De Freitas, Jeung H Kim, Helen C Poynton, Trent Su, Henri Wintz, Tama C Fox, Patty S Holman, Alex V Loguinov, Sunduz Keles, Mark Van Der Laan, Chris D Vulpe
    posted to iron_homeostasis yeast by naegele on 2008-01-11 09:51:28 as **
  • Three cell wall mannoproteins facilitate the uptake of iron in Saccharomyces cerevisiae
    The Journal of Biological Chemistry, Vol. 276, No. 52. (22 October 2001), pp. 49244-50.
    by Olga Protchenko, Tracey Ferea, Jared Rashford, John Tiedeman, Patrick O Brown, David Botstein, Caroline C Philpott
    posted to iron_homeostasis regulatory_network yeast by naegele on 2008-01-11 09:27:24 as *
  • Reverse engineering of yeast transcriptional network using the ARACNE algorithm
    (2004)
    by Adam A Margolin, Nilanjana Banerjee, Ilya Nemenman, Andrea Califano
    posted to genetic_network microarray by naegele on 2008-01-10 16:00:19 as *
  • Reverse engineering of regulatory networks in human B cells.
    Nature Genetics (20 March 2005)
    by Katia Basso, Adam AA Margolin, Gustavo Stolovitzky, Ulf Klein, Riccardo Dalla-Favera, Andrea Califano
    posted to genetic_network microarray regulatory_network by naegele on 2008-01-10 10:23:58 as ** along with 8 people snuppepuppan kentsis dragonrez jfr wnpx raiyar heliopais lylu
  • Nation's first clinically annotated, publicly available gene expression database to help researchers accelerate cancer treatment discoveries
    (16 February 2004)
    by igc
    posted to microarray by naegele on 2008-01-09 17:09:51 as **
  • Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
    (2003), pp. 371-376.
    by Constantin F Aliferis, Ioannis Tsamardinos, Alexander R Statnikov, Laura E Brown
    edited by Faramarz Valafar, Homayoun Valafar, Faramarz Valafar, Homayoun Valafar
    posted to feature_selection network software structure_learning by naegele on 2008-01-09 15:23:41 as **
  • Depth-First Search and Linear Graph Algorithms
    SIAM Journal on Computing, Vol. 1, No. 2. (1972), pp. 146-160.
    by Robert Tarjan
    posted to depth_first graph strong_connectivity by naegele on 2008-01-07 17:15:09 as read along with 4 people muraken antonkratz timotay djlin
  • Learning Bayesian Networks From Dependency Networks: A Preliminary Study
    (Jan 3-6 2003)
    by Geoff Hulten, David M Chickering, David Heckerman
    edited by Christopher M Bishop, Brendan J Frey
    posted to bayesian_network dependency_network graphical_models by naegele on 2008-01-07 13:00:17 as read
  • Dependency networks for inference, collaborative filtering, and data visualization
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 49-75.
    by David Heckerman, David M Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie
    posted to bayesian collaborative_filtering dependency_network graphical_models by naegele on 2008-01-07 12:52:08 as read along with 5 people and 2 groups pliz knowlengr bsowell ransombriggs rlai MITCCI DarkMarkGroup
  • A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms
    (2005), pp. 739-745.
    by Laura E Brown, Ioannis Tsamardinos, Constantin F Aliferis
    edited by Manuela M Veloso, Subbarao Kambhampati, Manuela M Veloso, Subbarao Kambhampati
    posted to no-tag by naegele on 2008-01-07 09:45:51 as read
  • Optimization by Simulated Annealing
    Science, Vol. 220, No. 4598. (13 May 1983), pp. 671-680.
    by S Kirkpatrick, CD Gelatt, MP Vecchi
    posted to optimization simulated_annealing by naegele on 2007-12-20 10:39:04 as ** along with 4 people newton1234 ywlin ddahlem Bc91
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