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UNINA990010046050403321 |
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Autore |
Solinas, Pier Giorgio |
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Titolo |
Colore di pelle colore di casta : persona rituale società in India / Pier Giorgio Solinas |
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Pubbl/distr/stampa |
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Milano ; Udine : Mimesis, 2015 |
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Descrizione fisica |
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Collana |
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Locazione |
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Collocazione |
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306.0954 |
COLLEZ. 2535 (5) |
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Lingua di pubblicazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
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UNINA9910703979103321 |
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Autore |
Butts Charles <1863-1946, > |
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Titolo |
Economic geology of the Kittanning and Rural valley quadrangles, Pennsylvania / / by Charles Butts |
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Washington, D.C. : , : Department of the Interior, United States Geological Survey, , 1906 |
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Washington : , : Government Printing Office |
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Descrizione fisica |
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1 online resource (198 pages, XI pages of plates) : illustrations, map |
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Bulletin / United States Geological Suvey ; ; no. 279 |
Series A, Economic geology, 67 |
Series B, Descriptive geology, 83 |
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Soggetti |
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Mines and mineral resources - Pennsylvania |
Coal - Pennsylvania |
Geology - Pennsylvania |
Coal |
Geology |
Mines and mineral resources |
Pennsylvania |
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Lingua di pubblicazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed Aug. 26, 2015). |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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3. |
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UNINA9910346695703321 |
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Autore |
Altman Russ (Russell Biagio), <1961-> |
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Titolo |
Biocomputing 2013 - Proceedings of the Pacific Symposium |
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Singapore, : World Scientific Publishing Company, 2012 |
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Descrizione fisica |
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1 online resource (471 p.) |
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Disciplina |
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Biology -- Computer simulation -- Congresses |
Biology -- Mathematical models -- Congresses |
Biology -- Mathematical models |
Biology |
Health & Biological Sciences |
Biology - General |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Modeling cell heterogeneity: from single-cell variations to mixed cells populations445; Computational Challenges of Mass Phenotyping454; The Future of Genome-Based Medicine456; 0session-intro-cdr.pdf; 1cheng; 1. Introduction; 2. Methods; 2.1. Data sources and data processing; 2.2. Pair-wise similarity scores; 2.3. Method nomenclature; 2.4. AUCs and p-values; 2.5. Expression signal strength; 3. Results; 4. Discussion; 5. Acknowledgments; 2felciano; 3phatak; 4shi; 5wang; 0intro-epigenomics.pdf; 1ahn; 2luo; 3sahu; 1gabr; 2gevaert; 3kim; 1. Introduction; 2. Methods |
2.1. Introduction of the Module Cover Problem2.2. Integrated Module Cover; 2.3. Two-Step Module Cover; 3. Results; 3.1. Analysis of Glioblastoma Multiforme Data from GMDI; 3.1.1. Comparison of the Module Cover approaches. |
For an association to be specific in a given module, only a few regulatory associations should have highly significant p-values while the remaining loci are expected to have insignificant p-values. Thus, we defined the specificity of a module M as the area of a cumulative histogram of association significance values. Specifically, we partitioned the range from 0 to strength (M) into 10 bins of equal sizes and |
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defined cj to be the cumulative percentage of j-th bin. Then the specificity is defi...3.1.2. Analysis of GBM data; 3.1.3. Analysis of Ovarian Cancer Data; 4. Discussion |
Uncovering modules that are associated with genomic alterations in a disease is a challenging task as well as an important step to understand complex diseases. To address this challenge we introduced a novel technique - module cover - that extends the concept of set cover to network modules. We provided a mathematical formalization of the problem and developed two heuristic solutions: the Integrated Module Cover approach, which greedily selects genes to cover disease cases while simultaneousl... |
In general, the module cover approach is especially helpful in analyzing and classifying heterogeneous disease cases by exploring the way different combinations of dys-regulated of modules relate to a particular disease subcategory. Indeed, our analysis indicated that the gene set selected by module cover approach may be used for classification. Equally important, the selected module covers may help to interpret classifications that were obtained with other methods.5. Materials; 5.1 Data Treatment for Glioblastoma Multiforme Data from GMDI |
Differentially Expressed Genes: Briefly, all samples were profiled using HG-U133 Plus 2.0 arrays that were normalized at the probe level with dChip (16, 19). Among probes representing each gene, we chose the probeset with the highest mean intensity in the tumor and control samples. We determined genes that are differentially expressed in each disease case compared to the non-tumor control cases with a Z-test. For a gene g and case c, we define cover(c, g) to be 1 if nominal p-value < 0.01 and... |
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The Pacific Symposium on Biocomputing (PSB) 2013 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2013 will be held on January 3 - 7, 2013 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2013 will bring together top researchers from the US, the Asian Pacific nations, and around the world t |
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4. |
Record Nr. |
UNINA9910427678003321 |
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Titolo |
Algorithms for Sensor Systems : 16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020, Pisa, Italy, September 9–10, 2020, Revised Selected Papers / / edited by Cristina M. Pinotti, Alfredo Navarra, Amitabha Bagchi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (IX, 187 p. 72 illus., 32 illus. in color.) |
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Collana |
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Computer Communication Networks and Telecommunications, , 2945-9184 ; ; 12503 |
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Disciplina |
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Soggetti |
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Algorithms |
Artificial intelligence |
Computer engineering |
Computer networks |
Data structures (Computer science) |
Information theory |
Design and Analysis of Algorithms |
Artificial Intelligence |
Computer Engineering and Networks |
Data Structures and Information Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Minimizing Total Interference in Asymmetric Sensor Networks -- Distributed Localization of Wireless Sensor Network Using Communication Wheel -- Covering users by a connected swarm efficiently -- VectorTSP: A Traveling Salesperson Problem with Racetrack-like acceleration constraints -- Connected Reconfiguration of Lattice-Based Cellular Structures by Finite-Memory Robots -- On Efficient Connectivity-Preserving Transformations in a Grid -- Live Exploration with Mobile Robots in a Dynamic Ring, Revisited -- Asynchronous Filling by Myopic Luminous Robots -- Weighted Group |
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Search on a Line -- Fast Byzantine Gathering with Visibility in Graphs -- Efficient Dispersion on an Anonymous Ring in the Presence of Weak Byzantine Robots -- Conic Formation in Presence of Faulty Robots. |
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Sommario/riassunto |
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This book constitutes revised selected papers from the 16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020, held in Pisa, Italy*, in September 2020. The 12 full papers presented in this volume were carefully reviewed and selected from 27 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. *The conference was held virtually due to the COVID-19 pandemic. |
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