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Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms
Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms
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Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms

Aalen, OO ; Røysland, K ; Gran, JM ; Kouyos, R ; Lange, T

Statistical methods in medical research, 2016-10, Vol.25 (5), p.2294-2314 [Periódico revisado por pares]

London, England: SAGE Publications

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2
A model-based Bayesian estimation of the rate of evolution of VNTR loci in Mycobacterium tuberculosis
A model-based Bayesian estimation of the rate of evolution of VNTR loci in Mycobacterium tuberculosis
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A model-based Bayesian estimation of the rate of evolution of VNTR loci in Mycobacterium tuberculosis

Aandahl, R Zachariah ; Reyes, Josephine F ; Sisson, Scott A ; Tanaka, Mark M Kosakovsky Pond, Sergei L.

PLoS computational biology, 2012-06, Vol.8 (6), p.e1002573-e1002573 [Periódico revisado por pares]

United States: Public Library of Science

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3
ANOVA Interactions Interpreted by Partial Least Squares Regression
ANOVA Interactions Interpreted by Partial Least Squares Regression
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ANOVA Interactions Interpreted by Partial Least Squares Regression

Aastveit, Are Halvor ; Martens, Harald

Biometrics, 1986-12, Vol.42 (4), p.829-844 [Periódico revisado por pares]

Malden, MA: Biometric Society

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4
Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms
Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms
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Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms

Aatila, Mustapha ; Lachgar, Mohamed ; Hamid, Hrimech ; Kartit, Ali Kloczkowski, Andrzej

Computational and mathematical methods in medicine, 2021-11, Vol.2021, p.9979560-26 [Periódico revisado por pares]

United States: Hindawi

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5
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action
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A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action

Abadi, Shiran ; Yan, Winston X ; Amar, David ; Mayrose, Itay Xu, Han

PLoS computational biology, 2017-10, Vol.13 (10), p.e1005807-e1005807 [Periódico revisado por pares]

United States: Public Library of Science

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6
Lattice Boltzmann Model of 3D Multiphase Flow in Artery Bifurcation Aneurysm Problem
Lattice Boltzmann Model of 3D Multiphase Flow in Artery Bifurcation Aneurysm Problem
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Lattice Boltzmann Model of 3D Multiphase Flow in Artery Bifurcation Aneurysm Problem

Abas, Aizat ; Mokhtar, N. Hafizah ; Ishak, M. H. H. ; Abdullah, M. Z. ; Ho Tian, Ang Pontrelli, Giuseppe

Computational and mathematical methods in medicine, 2016-01, Vol.2016, p.6143126-17 [Periódico revisado por pares]

United States: Hindawi Publishing Corporation

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7
Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study
Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study
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Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study

Abbasi, Mahdi ; Afsharfard, Aref ; Arasteh, Roya ; Safaie, Javad

Medical & biological engineering & computing, 2018-07, Vol.56 (7), p.1315-1324 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice
Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice
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Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice

Abbasi, Samira ; Hudson, Amber E ; Maran, Selva K ; Cao, Ying ; Abbasi, Ataollah ; Heck, Detlef H ; Jaeger, Dieter Diedrichsen, Jörn

PLoS computational biology, 2017-06, Vol.13 (6), p.e1005578-e1005578 [Periódico revisado por pares]

United States: Public Library of Science

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9
Customised fragments libraries for protein structure prediction based on structural class annotations
Customised fragments libraries for protein structure prediction based on structural class annotations
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Customised fragments libraries for protein structure prediction based on structural class annotations

Abbass, Jad ; Nebel, Jean-Christophe

BMC bioinformatics, 2015-04, Vol.16 (1), p.136-136, Article 136 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Weighted log-rank tests for clustered censored data: Saddlepoint p-values and confidence intervals
Weighted log-rank tests for clustered censored data: Saddlepoint p-values and confidence intervals
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Weighted log-rank tests for clustered censored data: Saddlepoint p-values and confidence intervals

Abd El-Raheem, Abd El-Raheem M ; Abd-Elfattah, Ehab F

Statistical methods in medical research, 2020-09, Vol.29 (9), p.2629-2636 [Periódico revisado por pares]

London, England: SAGE Publications

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