We present eXpress, a software package for efficient probabilistic assignment of ambiguously mapping sequenced fragments. eXpress uses a streaming algorithm with linear run time and constant memory use. It can determine abundances of sequenced molecules in real time and can be applied to ChIP-seq, metagenomics and other large-scale sequencing data. We demonstrate its use on RNA-seq data and show that eXpress achieves greater efficiency than other quantification methods
The production of pairs of hadrons in hadronic collisions is studied using a next-to-leading-order M...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
One of the major challenges in testing a System-on-a-Chip (SOC) is dealing with the large test data ...
We describe an algorithm for designing the equilibrium base-pairing properties of a test tube of int...
International audienceAn increasing number of time-consuming simulators exhibit a complex noise stru...
M.Phil.We consider a random model of General Constraint Satisfaction Problems (CSPs) in which variab...
This paper reports simulation experiments, applying the cross entropy method suchas the importance s...
We report time-dependent Probability Density Functions (PDFs) for a nonlinear stochastic process wi...
This paper uses publicly available data on the prediction process of Covid-19 transmission in the wo...
International audienceThe CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, wher...
Invited talk.Recently, there has been a lot of attention for statistical relational learning and pro...
A particular version of the tests of Robinson (1994) for testing stochastic cycles in macroeconomic ...
We describe and propose an implementation of a dynamic programming algorithm for the segmentation of...
Stochastic simulation of large-scale biochemical reaction networks is becoming essential for Systems...
학위논문 (석사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2015. 8. 정교민.We consider the problem of learning perturbation-bas...
The production of pairs of hadrons in hadronic collisions is studied using a next-to-leading-order M...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
One of the major challenges in testing a System-on-a-Chip (SOC) is dealing with the large test data ...
We describe an algorithm for designing the equilibrium base-pairing properties of a test tube of int...
International audienceAn increasing number of time-consuming simulators exhibit a complex noise stru...
M.Phil.We consider a random model of General Constraint Satisfaction Problems (CSPs) in which variab...
This paper reports simulation experiments, applying the cross entropy method suchas the importance s...
We report time-dependent Probability Density Functions (PDFs) for a nonlinear stochastic process wi...
This paper uses publicly available data on the prediction process of Covid-19 transmission in the wo...
International audienceThe CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, wher...
Invited talk.Recently, there has been a lot of attention for statistical relational learning and pro...
A particular version of the tests of Robinson (1994) for testing stochastic cycles in macroeconomic ...
We describe and propose an implementation of a dynamic programming algorithm for the segmentation of...
Stochastic simulation of large-scale biochemical reaction networks is becoming essential for Systems...
학위논문 (석사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2015. 8. 정교민.We consider the problem of learning perturbation-bas...
The production of pairs of hadrons in hadronic collisions is studied using a next-to-leading-order M...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
One of the major challenges in testing a System-on-a-Chip (SOC) is dealing with the large test data ...