# Ultra high precision timing class in c

The following C project contains the C source code and C examples used for ultra high precision timing class. CCPUTicker v1.

The following C project contains the C source code and C examples used for multi-threading. Explains what MultiThreading is and how to fit it into your program with just a few simple windows functions.

The following C project contains the C source code and C examples used for using of logfont structure. A example application of MFC LongFont structure

The following C project contains the C source code and C examples used for the bioinformatics template library btl. We are developing a software library of generic components for use by the bioinformatics and molecular modelling communities.

The following C project contains the C source code and C examples used for simple multi-threading illustration using c++ - beginners. There are 4 files in the zip. Each file illustrates a concept of multi-threading, such as mutex, create thread, and so on.

The following Matlab project contains the source code and Matlab examples used for lutbar a pedestrian colormap toolbar contextmenu creator.
if you are tired of trying colormap(xxx) at the command prompt to find the appropriate colormap for your figure - try LUTBAR
LUTBAR creates a colormap toolbar with colormap icons and context menu from ML?s own colormaps and/or additional colormaps for fast colormap switching in a figure
LUTBAR comes with various options to define those colormaps that you want to show up on the bar/menu

The following Matlab project contains the source code and Matlab examples used for a tool which can refine a set of multiple alignments to reduce the global alignment score. .
While tools can generally find the optimal pairwise sequence alignment the same is not true for multiple alignments.

The following Matlab project contains the source code and Matlab examples used for this is a wrapper around the bioinformatics seqlogo function that creates a real matlab figure. .
Sequence Logos are a common technique for visualizing the conservation of positions within a multiple sequence alignment.

The following Matlab project contains the source code and Matlab examples used for seqlogo generator.
The seqlogo tool in the bioinformatics toolbox generates good sequence logos, unfortunately they cannot be incorporated into other programs. This routine generates DNA sequence logos as raw images.

The following Matlab project contains the source code and Matlab examples used for performs kmedioids clustering, requires only a nxn distance matrix d and number of clusters, k. .
Performs k-mediods clustering; only requires a distance matrix D and number of clusters k.

The following Matlab project contains the source code and Matlab examples used for gene set enrichment analysis (gsea) for 2 complementary gene sets .
GSEA2, an extended version of GSEA, assesses enrichment of two complementary gene sets against a list of ranked genes.

The following Matlab project contains the source code and Matlab examples used for confusion matrix matching matrix along with precision, sensitivity, specificity and model accuracy.
function [confmatrix] = cfmatrix2(actual, predict, classlist, per, printout)
CFMATRIX2 calculates the confusion matrix for any prediction algorithm ( prediction algorithm generates a list of classes to which each test feature vector is assigned );
Outputs:
Confusion matrix
Also the TP, FP, FN and TN are output for each class based on
http://en.

The following Matlab project contains the source code and Matlab examples used for colormaps compatible with red green color perception deficiencies.
Visualization of data concerns most scientists.

The following Matlab project contains the source code and Matlab examples used for function to make a contour/pcolor-like plot with multiple colormaps on same figure. .
A work-around to get multiple colormaps on same figure. Creates a 'fake' colormap using patches. Work in progress; please let me know of any issues or suggestions.

The following Matlab project contains the source code and Matlab examples used for sequence alignment with arbitrary steps.
Determine the best alignment, with allowed 'steps' <S>, between two sequences, and under a given similarity function.

The following Matlab project contains the source code and Matlab examples used for confusion matrix, accuracy, precision, specificity, sensitivity, recall, f score.
function stats = confusionmatStats(group,grouphat)
% INPUT
% group = true class labels
% grouphat = predicted class labels
%
% OR INPUT
% stats = confusionmatStats(group);
% group = confusion matrix from matlab function (confusionmat)
%
% OUTPUT
% stats is a structure array
% stats.

The following Matlab project contains the source code and Matlab examples used for create a heatmap from signals stored in an edf file .
A heatmap can be created for each signal in an EDF or for selected signals.

The following Matlab project contains the source code and Matlab examples used for deidentify edf header for hipaa compliance .
Deidentify file in place, with out rewriting. Backup of file is recommended prior to use.
Function Prototypes:
status = BlockEdfDeidentify(edfFn)
status = BlockEdfDeidentify(edfFn, patient_id, recording_startdate)

The following Matlab project contains the source code and Matlab examples used for bit table based biclustering and frequent closed itemset mining in high dimensional binary data.
During the last decade various algorithms have been developed and proposed for discovering overlapping clusters in high-dimensional data.

The following Matlab project contains the source code and Matlab examples used for true positives, false positives, true negatives, false negatives from 2 matrices.
- This simple function takes in 2 matrices of equal size populated with 1's and 0's and returns the number of True Positives, False Positives, True Negatives, False Negatives in order for precision and recall calculation
- 1st matrix is the true matrix
- 2nd matrix is the one populated from an algorithm used
- Returns error metrics based on a binary classification.

The following Matlab project contains the source code and Matlab examples used for amino acid conservation.
We analyzed the degree of conservation at each position in the multiple sequence alignment (MSA), taking into account of biochemical similarity between amino acids.

The following Matlab project contains the source code and Matlab examples used for bayesian robust hidden markov model.
The Bayesian robust hidden Markov model (BRHMM) is a probabilistic model for segmenting sequential multi-variate data.

The following Matlab project contains the source code and Matlab examples used for precision recall and roc curves.
Consider a binary classification task, and a real-valued predictor, where higher values denote more confidence that an instance is positive.

The following Matlab project contains the source code and Matlab examples used for principal component analysis for large feature and small observation.
Small size of observation and huge features happens a lot in shape/image and bioinformatics analysis. This file provides an alternative way of perform PCA analysis.
More detail about PCA please check: http://www.math.fsu.edu/~qxu/TCI.html

The following Matlab project contains the source code and Matlab examples used for colorbrewer attractive and distinctive colormaps.
One function provides the complete selection of the ColorBrewer colorschemes, especially intended for mapping and plots with attractive, distinguishable colors.

The following Visual Basic project contains the source code and Visual Basic examples used for copy array values between arrays in your vba projects. Taken from the code at http://www.freevbcode.com/ShowCode.asp?ID=2873 and adapted for VBA. This snippet lets you copy values from a source array into a destination array.

The following VB.NET project contains the source code and VB.NET examples used for Simple Multi Threading Example.
I've created a simple multi threading program.

The following free r packages , r projects , r code , and r examples are used for Extra functions to cut, label and colour dendrogram clusters. This package provides extra functions to manipulate dendrograms that build on the base functions provided by the stats package.