SYSTEMS AND METHODS FOR NORMALIZING GENE EXPRESSION PROFILES OF BIOLOGICAL SAMPLES HAVING A MIXED CELL POPULATION

1 . A method for normalizing a gene expression profile of a mixed cell population biological sample of a test subject, the method comprising:

obtaining proportion data quantifying a relative proportion of each cell type of a plurality of cell types within the biological sample of the test subject, wherein each cell type of the plurality of cell types corresponds to a respective sub-sample of the biological sample;

obtaining a respective gene expression profile of each sub-sample of the biological sample;

normalizing, by a processor of a computing device, for each sub-sample of the biological sample, the gene expression profile with respect to the proportion data to obtain a normalized gene expression profile of the test subject;

analyzing, by the processor, the normalized gene expression profile of the test subject with respect to a reference gene expression profile; and

determining, by the processor, correlation information, wherein the correlation information represents relative correlation between the normalized gene expression profile and the reference gene expression profile.

2 . The method of claim 1 , wherein analyzing the normalized gene expression profile of the test subject comprises evaluating a diagnostic classifier using the normalized gene expression profile of the test subject, wherein the diagnostic classifier is based at least in part on the reference gene expression profile.

3 . The method of claim 2 , wherein determining the correlation information comprises identifying a diagnostic classification or classification score for the test subject using the diagnostic classifier.

4 . The method of claim 1 , further comprising causing, by the processor, presentation of the correlation information for diagnosis purposes.

5 . The method of claim 1 , wherein the mixed cell population biological sample is a bodily fluid sample.

6 . The method of claim 5 , wherein the mixed cell population biological sample is a blood sample.

7 . The method of claim 1 , wherein the mixed cell population biological sample is a buccal swab sample.

8 . The method of claim 1 , wherein obtaining the proportion data comprises separating each cell type of the mixed cell population biological sample to obtain type-purified sub-samples of the biological sample.

9 . The method of claim 8 , wherein separating comprises applying one or more of the following separation methods: flow cytometry, centrifugal sedimentation, magnetic activated cell sorting, drop delay or electrophoretic cell sorting, adhesion-based sorting, and antibody surface capture.

10 . The method of claim 9 , wherein separating comprises applying fluorescence-activated cell sorting.

11 . The method of claim 8 , wherein obtaining the respective gene expression profile of each sub-sample of the biological sample comprises analyzing each type-purified sub-sample of the biological sample.

12 . The method of claim 11 , wherein analyzing each type-purified sub-sample comprises sequencing each type-purified sub-sample.

13 . The method of claim 12 , wherein sequencing comprises applying at least one of an RNA-Seq method and a Digital Gene Expression method.

14 . The method of claim 11 , wherein analyzing each type-purified sub-sample comprises performing microarray analysis of each type-purified sub-sample.

15 . The method of claim 1 , wherein obtaining the proportion data comprises measuring cell-type fractions of each cell type of the mixed cell population of the biological sample.

16 . The method of claim 15 , wherein measuring cell-type fractions comprises applying one or more of the following measurement techniques: Complete Blood Count (CBC) testing and blood differential testing.

17 . The method of claim 15 , wherein obtaining the respective gene expression profile of each sub-sample of the biological sample comprises quantifying gene expression data relative to respective proportions of each cell type of the mixed cell population of the biological sample.

18 . The method of claim 1 , wherein obtaining the respective gene expression profile of each sub-sample of the biological sample comprises extracting RNA from each sub-sample, and converting the respective RNA into respective cDNA.

19 . The method of claim 18 , wherein obtaining the respective gene expression profile of each sub-sample comprises amplifying the cDNA to increase a quantity of cDNA in at least one sub-sample of the biological sample.

20 . The method of claim 18 , further comprising attaching and/or incorporating, for each cDNA sample corresponding to each sub-sample, a respective unique identifier.

21 . The method of claim 20 , wherein the unique identifier comprises a bar code.

22 . The method of claim 18 , wherein obtaining the respective gene expression profile of each sub-sample of the biological sample comprises analyzing each cDNA sample corresponding to each sub-sample.

23 . The method of claim 22 , wherein analyzing each cDNA sample comprises sequencing each cDNA sample.

24 . The method of claim 22 , wherein obtaining the gene expression profile comprises, for each sub-sample of the biological sample, quantifying one or more of counts per gene, counts per exon, counts per splice, and counts per transcript.

25 . The method of claim 1 , wherein the reference population comprises a disease diagnosis population.

26 . The method of claim 1 , further comprising, prior to analyzing the normalized gene expression profile of the test subject with respect to the reference gene expression profile:

for each biological sample of the plurality of mixed cell biological samples of a plurality of subjects in a reference population:

determining, by the processor, for each cell type of the mixed cell population of the respective biological sample, a proportion of a sub-sample corresponding to the respective cell type,

accessing a respective gene expression profile, and

for each sub-sample of the biological sample, determining, by the processor, a normalized sub-sample gene expression profile, wherein the respective gene expression profile is normalized relative to the respective proportion of the respective sub-sample; and

for each cell type of the mixed cell population, combining, by the processor, the respective normalized sub-sample gene expression profile for each biological sample of the plurality of mixed cell biological samples of at least a portion of the reference population to determine the reference gene expression profile.

27 . The method of claim 26 , further comprising:

prior to combining, grouping the reference population with respect to two or more demographic groups, wherein the portion of the reference population comprises a subset of the plurality of subjects of the reference population belonging to a first demographic group of the two or more demographic groups.

28 . The method of claim 27 , further comprising, prior to analyzing the normalized gene expression profile of the test subject with respect to the reference gene expression profile:

obtaining demographic information regarding the test subject; and

selecting, by the processor, the normalized gene expression profile based in part upon the demographic information.

29 . The method of claim 26 , further comprising, for each cell type of the mixed cell population of the biological sample, combining, by the processor, the respective proportions of each sub-sample of each biological sample of the plurality of biological samples to determine a typical proportion profile.

30 . The method of claim 29 , further comprising analyzing, by the processor, the proportion data with respect to reference proportion data of the reference population, wherein determining the correlation information further comprises determining correlation between the proportion data and the reference proportion data.

31 . A system for normalizing a gene expression profile of a mixed cell population biological sample of a test subject, the system comprising:

a processor; and

a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:

obtain proportion data quantifying a relative proportion of each cell type of a plurality of cell types within the biological sample of the test subject, wherein each cell type of the plurality of cell types corresponds to a respective sub-sample of the biological sample;

obtain a respective gene expression profile of each sub-sample of the biological sample;

normalize, for each sub-sample of the biological sample, the gene expression profile with respect to the proportion data to obtain a normalized gene expression profile of the test subject;

analyze the normalized gene expression profile of the test subject with respect to a reference gene expression profile; and

determine correlation information, wherein the correlation information represents relative correlation between the normalized gene expression profile and the reference gene expression profile.

32 . A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to:

obtain proportion data quantifying a relative proportion of each cell type of a plurality of cell types within a biological sample of a test subject, wherein each cell type of the plurality of cell types corresponds to a respective sub-sample of the biological sample;

obtain a respective gene expression profile of each sub-sample of the biological sample;

normalize, for each sub-sample of the biological sample, the gene expression profile with respect to the proportion data to obtain a normalized gene expression profile of the test subject;

analyze the normalized gene expression profile of the test subject with respect to a reference gene expression profile; and

determine correlation information, wherein the correlation information represents relative correlation between the normalized gene expression profile and the reference gene expression profile.