Resultados da busca - ((((java algorithm) or (a algorithm))) or (((data algorithm) or (fast algorithms))))

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A highly efficient multi-core algorithm for clustering extremely large datasets

por Kraus, Johann M, Kestler, Hans A
Publicado em 2010

“... based algorithm was increased by a factor of 10 for large data sets while preserving computational...”
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DBS: a fast and informative segmentation algorithm for DNA copy number analysis

por Ruan, Jun, Liu, Zhen, Sun, Ming, Wang, Yue, Yue, Junqiu, Yu, Guoqiang
Publicado no BMC Bioinformatics (2019)

“... and efficient segmentation algorithms are required when characterizing high density CNAs data. RESULTS: A fast...”
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DBS: a fast and informative segmentation algorithm for DNA copy number analysis

por Jun Ruan, Zhen Liu, Ming Sun, Yue Wang, Junqiu Yue, Guoqiang Yu
Publicado em 2019-01-01

“... and efficient segmentation algorithms are required when characterizing high density CNAs data. Results A fast...”
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BioDIFF: An Effective Fast Change Detection Algorithm for Biological Annotations

por Song, Yang, Bhowmick, Sourav S., Dewey, C. Forbes
Publicado no Advances in Databases: Concepts, Systems and Applications (2007)

“... data. Our algorithm extends X-Diff, a published XML change detection algorithm. X-Diff, being designed...”
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Open Data Structures: An Introduction

por Pat Morin
Publicado no OPEL (Open Paths to Enriched Learning) (2013)

Assuntos: “...algorithms...”
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6

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The Index-Based Subgraph Matching Algorithm (ISMA): Fast Subgraph Enumeration in Large Networks Using Optimized Search Trees

por Demeyer, Sofie, Michoel, Tom, Fostier, Jan, Audenaert, Pieter, Pickavet, Mario, Demeester, Piet
Publicado em 2013

“...Subgraph matching algorithms are designed to find all instances of predefined subgraphs in a large...”
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Trie-based Rule Processing for Clinical NLP: a use-case study of n-trie, making the ConText algorithm more efficient and scalable

por Shi, Jianlin, Hurdle, John F.
Publicado no J Biomed Inform (2018)

“... new rule processing engine using a revised Trie structure, allows fast execution of lexicon-based NLP...”
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MET: a Java package for fast molecule equivalence testing

por Schüler, Jördis-Ann, Rechner, Steffen, Müller-Hannemann, Matthias
Publicado no J Cheminform (2020)

“... on extensive computational experiments, we show that our algorithm is significantly faster than existing...”
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BatMass: a Java software platform for LC/MS data visualization in proteomics and metabolomics

por Avtonomov, Dmitry, Raskind, Alexander, Nesvizhskii, Alexey I.
Publicado no J Proteome Res (2016)

“... data through its fast visualization capabilities. It also serves as a testbed for developers of LC/MS...”
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Deconvolution of Two-Dimensional NMR Spectra by Fast Maximum Likelihood Reconstruction: Application to Quantitative Metabolomics

por Chylla, Roger A., Hu, Kaifeng, Ellinger, James J., Markley, John L.
Publicado em 2011

“...[Image: see text] We have developed an algorithm called fast maximum likelihood reconstruction...”
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MutScan: fast detection and visualization of target mutations by scanning FASTQ data

por Chen, Shifu, Huang, Tanxiao, Wen, Tiexiang, Li, Hong, Xu, Mingyan, Gu, Jia
Publicado no BMC Bioinformatics (2018)

“... such as HTML and JavaScript. Algorithms such as rolling hash and bloom filter are applied to accelerate...”
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GC4S: A bioinformatics-oriented Java software library of reusable graphical user interface components

por López-Fernández, Hugo, Reboiro-Jato, Miguel, Glez-Peña, Daniel, Laza, Rosalía, Pavón, Reyes, Fdez-Riverola, Florentino
Publicado no PLoS One (2018)

“... and fast implementations of different data analysis algorithms, these software applications should also...”
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FastPval: a fast and memory efficient program to calculate very low P-values from empirical distribution

por Li, Mulin Jun, Sham, Pak Chung, Wang, Junwen
Publicado em 2010

“.... Results: We have developed a multiple stage P-value calculating program called FastPval that can...”
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Genometa--a fast and accurate classifier for short metagenomic shotgun reads.

por Colin F Davenport, Jens Neugebauer, Nils Beckmann, Benedikt Friedrich, Burim Kameri, Svea Kokott, Malte Paetow, Björn Siekmann, Matthias Wieding-Drewes, Markus Wienhöfer, Stefan Wolf, Burkhard Tümmler, Volker Ahlers, Frauke Sprengel
Publicado em 2012-01-01

“... reads on a personal computer.The Genometa program, a step by step tutorial and Java source code...”
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Genometa - A Fast and Accurate Classifier for Short Metagenomic Shotgun Reads

por Davenport, Colin F., Neugebauer, Jens, Beckmann, Nils, Friedrich, Benedikt, Kameri, Burim, Kokott, Svea, Paetow, Malte, Siekmann, Björn, Wieding-Drewes, Matthias, Wienhöfer, Markus, Wolf, Stefan, Tümmler, Burkhard, Ahlers, Volker, Sprengel, Frauke
Publicado em 2012

“... reads on a personal computer. AVAILABILITY: The Genometa program, a step by step tutorial and Java...”
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16

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JTHERGAS: Thermodynamic Estimation from 2D Graphical Representations of Molecules

por Blurock, Edward, Warth, V., Grandmougin, X., Bounaceur, R., Glaude, P.A., Battin-Leclerc, F.
Publicado em 2012

“...JTHERGAS is a versatile calculator (implemented in JAVA) to estimate thermodynamic information from...”
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17

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TraceSpecks: A Software for Automated Idealization of Noisy Patch-Clamp and Imaging Data

por Shah, Syed Islamuddin, Demuro, Angelo, Mak, Don-On Daniel, Parker, Ian, Pearson, John E., Ullah, Ghanim
Publicado no Biophys J (2018)

“... or conductance levels can be present at a time in the data that need to be quantified to accurately understand...”
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SmartPhase: Accurate and fast phasing of heterozygous variant pairs for genetic diagnosis of rare diseases

por Hager, Paul, Mewes, Hans-Werner, Rohlfs, Meino, Klein, Christoph, Jeske, Tim
Publicado no PLoS Comput Biol (2020)

“... of the leading comparable phasing tools, using simulated data and a real clinical cohort of 921 patients. On both...”
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ROMA: Representation and Quantification of Module Activity from Target Expression Data

por Martignetti, Loredana, Calzone, Laurence, Bonnet, Eric, Barillot, Emmanuel, Zinovyev, Andrei
Publicado no Front Genet (2016)

“...In many analyses of high-throughput data in systems biology, there is a need to quantify...”
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miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data

por An, Jiyuan, Lai, John, Lehman, Melanie L., Nelson, Colleen C.
Publicado em 2013

“... strategies to identify precursor miRNAs. miRDeep* has a user-friendly graphic interface and accepts raw data...”
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