Results 61 to 70 of about 737,146 (331)

Efficient Approximation for Restricted Biclique Cover Problems

open access: yesAlgorithms, 2018
Covering the edges of a bipartite graph by a minimum set of bipartite complete graphs (bicliques) is a basic graph theoretic problem, with numerous applications. In particular, it is used to characterize parsimonious models of a set of observations (each
Alessandro Epasto, Eli Upfal
doaj   +1 more source

Experimental Analysis of Algorithms for Coflow Scheduling

open access: yes, 2016
Modern data centers face new scheduling challenges in optimizing job-level performance objectives, where a significant challenge is the scheduling of highly parallel data flows with a common performance goal (e.g., the shuffle operations in MapReduce ...
CA Phillips   +7 more
core   +1 more source

Algorithms for Simultaneous Padé Approximations [PDF]

open access: yesProceedings of the ACM on International Symposium on Symbolic and Algebraic Computation, 2016
ISSAC ...
Nielsen, Johan S. R., Storjohann, Arne
openaire   +2 more sources

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

open access: yesMolecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad   +12 more
wiley   +1 more source

Two-Agent Pareto-Scheduling of Minimizing Total Weighted Completion Time and Total Weighted Late Work

open access: yesMathematics, 2020
We investigate the Pareto-scheduling problem with two competing agents on a single machine to minimize the total weighted completion time of agent A’s jobs and the total weighted late work of agent B’s jobs, the B-jobs having a common due date.
Yuan Zhang, Zhichao Geng, Jinjiang Yuan
doaj   +1 more source

A randomized approximate nearest neighbors algorithm [PDF]

open access: yesApplied and Computational Harmonic Analysis, 2011
We present a randomized algorithm for the approximate nearest neighbor problem in d -dimensional Euclidean space. Given N points { x j } in , the ...
Peter Wilcox, Jones   +2 more
openaire   +2 more sources

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

Pade Method for Construction of Numerical Algorithms for Fractional Initial Value Problem

open access: yesJournal of Mathematics, 2020
In this paper, we propose an efficient method for constructing numerical algorithms for solving the fractional initial value problem by using the Pade approximation of fractional derivative operators. We regard the Grunwald–Letnikov fractional derivative
Feng Gao, Chunmei Chi
doaj   +1 more source

Approximation Schemes for Partitioning: Convex Decomposition and Surface Approximation

open access: yes, 2014
We revisit two NP-hard geometric partitioning problems - convex decomposition and surface approximation. Building on recent developments in geometric separators, we present quasi-polynomial time algorithms for these problems with improved approximation ...
Bandyapadhyay, Sayan   +2 more
core   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

open access: yesMolecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj   +4 more
wiley   +1 more source

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