Changes in version 1.2.5                        

    o   
	Added pi01 and pi02 as input values for users to initialize the
	proportion estimation.

    o   
	Added nspikein as an input value in the DeMixT, DeMixT_S1 and
	DeMixT_GS functions to specify how many spike-in normal
	reference samples need to be generated; Setting nspikein at
	null as a default value, the number of spike-in normal
	reference samples equal the min(200, 0.3 x My), where My is the
	number of mixed samples; By setting nspikein equals 0, no
	spike-in normal reference will be generated; If the input value
	of data.N2 is not null, nspikein will be forced to be 0.

    o   
	Added DeMixT_GS function, new proposed gene selection method
	which applies profile likelihood, for proportion estimation.

    o   
	Added simulate_2comp function for users to simulate test data
	for 2-component de-convolution.

    o   
	Added simulate_3comp function for users to simulate test data
	for 3-component de-convolution.

    o   
	Added row names and column names for all output values.

    o   
	Added gene.selection.method as an input value for DeMixT
	function.  The default is 'GS'.

    o   
	Added ngene.Profile.selected as an input value for DeMixT
	function. The default is NA.

                       Changes in version 0.99.0                        

    o   
	New package DeMixT, for cell type-specific deconvolution of
	heterogeneous tumor samples with two or three components using
	expression data from RNAseq or microarray platforms