Literature DB >> 24606307

Estimating confidence intervals for information transfer analysis of confusion matrices.

Mahan Azadpour1, Colette M McKay2, Robert L Smith3.   

Abstract

A non-parametric bootstrapping statistical method is introduced and investigated for estimating confidence intervals resulting from information transfer (IT) analysis of confusion matrices. Confidence intervals can be used to statistically compare ITs from two or more confusion matrices obtained in an experiment. Information transfer is a nonlinear analysis and does not satisfy many of the assumptions of a parametric method. The bootstrapping method accurately estimated IT confidence intervals as long as the confusion matrices contained a sufficiently large number of presentations per stimulus category, which is also a condition for reduced bias in IT analysis.

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Year:  2014        PMID： 24606307     DOI： 10.1121/1.4865840

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN： 0001-4966            Impact factor:   1.840


  9 in total

1.  SCMRSA: a New Approach for Identifying and Analyzing Anti-MRSA Peptides Using Estimated Propensity Scores of Dipeptides.

Authors:  Phasit Charoenkwan; Sakawrat Kanthawong; Nalini Schaduangrat; Pietro Li'; Mohammad Ali Moni; Watshara Shoombuatong
Journal:  ACS Omega       Date:  2022-09-01

2.  AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning.

Authors:  Phasit Charoenkwan; Saeed Ahmed; Chanin Nantasenamat; Julian M W Quinn; Mohammad Ali Moni; Pietro Lio'; Watshara Shoombuatong
Journal:  Sci Rep       Date:  2022-05-11       Impact factor: 4.996

Review 3.  Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins.

Authors:  Phasit Charoenkwan; Nalini Schaduangrat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lió; Watshara Shoombuatong
Journal:  EXCLI J       Date:  2022-03-02       Impact factor: 4.022

4.  Visualization of Speech Perception Analysis via Phoneme Alignment: A Pilot Study.

Authors:  J Tilak Ratnanather; Lydia C Wang; Seung-Ho Bae; Erin R O'Neill; Elad Sagi; Daniel J Tward
Journal:  Front Neurol       Date:  2022-01-11       Impact factor: 4.003

5.  UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning.

Authors:  Phasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Mohammad Ali Moni; Balachandran Manavalan; Watshara Shoombuatong
Journal:  Int J Mol Sci       Date:  2021-12-04       Impact factor: 5.923

6.  SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.

Authors:  Saeed Ahmad; Phasit Charoenkwan; Julian M W Quinn; Mohammad Ali Moni; Md Mehedi Hasan; Pietro Lio'; Watshara Shoombuatong
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

7.  Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework.

Authors:  Phasit Charoenkwan; Nalini Schaduangrat; Pietro Lio'; Mohammad Ali Moni; Watshara Shoombuatong; Balachandran Manavalan
Journal:  iScience       Date:  2022-08-05

8.  StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy.

Authors:  Nalini Schaduangrat; Nuttapat Anuwongcharoen; Mohammad Ali Moni; Pietro Lio'; Phasit Charoenkwan; Watshara Shoombuatong
Journal:  Sci Rep       Date:  2022-09-30       Impact factor: 4.996

9.  SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids.

Authors:  Phasit Charoenkwan; Wararat Chiangjong; Chanin Nantasenamat; Mohammad Ali Moni; Pietro Lio'; Balachandran Manavalan; Watshara Shoombuatong
Journal:  Pharmaceutics       Date:  2022-01-04       Impact factor: 6.321
  9 in total

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