Information and Computing Sciences

sort by:

Visual field measured by standard automated perimetry (SAP).

Visual field measured by standard automated perimetry (SAP).

figure posted on 2014-01-17

Spatial correlation between each location and all other locations in the visual field.

Spatial correlation between each location and all other locations in the visual field.

figure posted on 2014-01-17

Histograms of retest differential light sensitivities at levels between 0

Histograms of retest differential light sensitivities at levels between 0

figure posted on 2014-01-17

Examples comparing <i>ANSWER</i> and ordinary linear regression.

Examples comparing ANSWER and ordinary linear regression.

figure posted on 2014-01-17

Time to detect deterioration for linear regression of mean deviation (<i>MD</i>), point-wise linear regression (<i>PLR</i>), <i>ANSWERS</i> and <i>ANSWER</i> at false positive rates between 0 and 15%.

Time to detect deterioration for linear regression of mean deviation (MD), point-wise linear regression (PLR), ANSWERS and ANSWER at false positive rates between 0 and 15%.

figure posted on 2014-01-17

The hit rates of linear regression of mean deviation (<i>MD</i>), point-wise linear regression (<i>PLR</i>), <i>ANSWERS</i> and <i>ANSWER</i> with series lengths (<i>length</i>) of 5, 7, 9 and 11.

The hit rates of linear regression of mean deviation (MD), point-wise linear regression (PLR), ANSWERS and ANSWER with series lengths (length) of 5, 7, 9 and 11.

figure posted on 2014-01-17

The ratio of the hit rates for ANSWER and ANSWERS (in columns) against those of linear regression of mean deviation (MD), point-wise linear regression (PLR) of differential light sensitivity and ANSWER (in rows).

dataset posted on 2014-01-17

The normalised areas under partial hit rate curves for ANSWER, ANSWERS, linear regression of mean deviation (MD).

dataset posted on 2014-01-17

Detecting Changes in Retinal Function: Analysis with Non-Stationary <i>Weibull</i> Error Regression and Spatial Enhancement (<i>ANSWERS</i>)

Detecting Changes in Retinal Function: Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS)

dataset posted on 2014-01-17

Conceptual outline of the knowledge graph building process.

Conceptual outline of the knowledge graph building process.

figure posted on 2014-01-09

Paths identification and selection.

Paths identification and selection.

figure posted on 2014-01-09

The Sarcoidosis knowledge network.

The Sarcoidosis knowledge network.

figure posted on 2014-01-09

The VIP – SARCOIDOSIS path and other closely related concepts.

The VIP – SARCOIDOSIS path and other closely related concepts.

figure posted on 2014-01-09

The α-MSH – SARCOIDOSIS path and other closely related concepts.

The α-MSH – SARCOIDOSIS path and other closely related concepts.

figure posted on 2014-01-09

The CNP – SARCOIDOSIS path and other closely related concepts.

The CNP – SARCOIDOSIS path and other closely related concepts.

figure posted on 2014-01-09

Imatinib (GLEEVEC) – Creutzfeldt-Jakob Disease path and other closely related concepts.

Imatinib (GLEEVEC) – Creutzfeldt-Jakob Disease path and other closely related concepts.

figure posted on 2014-01-09

Graph Theory Enables Drug Repurposing – How a Mathematical Model Can Drive the Discovery of Hidden Mechanisms of Action

dataset posted on 2014-01-09

The Graphical User Interface (GUI) allows the user to set the analysis parameters, the required fold change, statistical test (p-value, q-value or Bonferroni corrected p-value) and statistical threshold.

The Graphical User Interface (GUI) allows the user to set the analysis parameters, the required fold change, statistical test (p-value, q-value or Bonferroni corrected p-value) and statistical threshold.

figure posted on 2014-01-08

Overview of experimental design and output from the ZODET analysis.

Overview of experimental design and output from the ZODET analysis.

figure posted on 2014-01-08

Receiver operating characteristic (ROC) curves for ZODET and GTI outlier detection.

Receiver operating characteristic (ROC) curves for ZODET and GTI outlier detection.

figure posted on 2014-01-08

Experimental validation of two genes identified by ZODET.

Experimental validation of two genes identified by ZODET.

figure posted on 2014-01-08

Combined ZODET analysis and corresponding GTI results from 20 experimental subjects.

dataset posted on 2014-01-08

Representation of the path followed by the electron gun for a CRT monitor.

Representation of the path followed by the electron gun for a CRT monitor.

figure posted on 2014-01-07

Measured timing errors distribution.

Measured timing errors distribution.

figure posted on 2014-01-07

Absolute number of missed frames in PsychoPy tests.

Absolute number of missed frames in PsychoPy tests.

figure posted on 2014-01-07

Missed frames for each testing condition.

dataset posted on 2014-01-07

The DNA methylation network interaction measure.

The DNA methylation network interaction measure.

figure posted on 2014-01-06

<i>p</i>-value histograms, showing the association of the DNA methylation network correlation measure with patient overall survival outcome, for all data sets.

p-value histograms, showing the association of the DNA methylation network correlation measure with patient overall survival outcome, for all data sets.

figure posted on 2014-01-06

Smaller significant network modules: network diagrams.

Smaller significant network modules: network diagrams.

figure posted on 2014-01-06

Larger significant subnetworks: network diagrams.

Larger significant subnetworks: network diagrams.

figure posted on 2014-01-06

Larger significant subnetworks: degree distributions.

Larger significant subnetworks: degree distributions.

figure posted on 2014-01-06

Number of samples in each data set.

dataset posted on 2014-01-06

Number of significant subnetworks, modules and motifs.

dataset posted on 2014-01-06

Significance of association of the DNAm network correlation measure with gene expression network correlation.

dataset posted on 2014-01-06

Directionality of significant network edges.

dataset posted on 2014-01-06

Null subnetwork analysis.

dataset posted on 2014-01-06

Wound-healing module: significantly enriched gene sets.

dataset posted on 2014-01-06

Wound-healing module: gene/node details.

dataset posted on 2014-01-06

Immune module: significantly enriched gene sets.

dataset posted on 2014-01-06

Immune module: gene/node details.

dataset posted on 2014-01-06