Methods and systems for analyzing complex biological systems

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing data in said computer tracking system, wherein said data are linked to said unique identifier;
• c) converting said linked data to a numeric format;
• d) transforming said numeric format data into a Gaussian distribution;
• e) converting said Gaussian distribution data to a common unit system;
• and
• f) reducing the dimensionality of said common unit system data, wherein said dimensionally reduced common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing data in said computer tracking system, wherein said data are linked to said unique identifier;
• c) converting said linked data to a numeric format;
• d) transforming said numeric format data into a Gaussian distribution;
• and
• e) converting said Gaussian distribution data to a common unit system wherein said common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing data in said computer tracking system, wherein said data are linked to said unique identifier;
• c) converting said linked data to a numeric format;
• d) converting said numeric format data to a common unit system;
• and
• e) reducing the dimensionality of said common unit system data, wherein said dimensionally reduced common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least two types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• and
• d) converting said numeric format data to a common unit system, wherein said common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least two types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• d) transforming said numeric format data into a Gaussian distribution;
• e) converting said Gaussian distribution data to a common unit system;
• and
• f) reducing the dimensionality of said common unit system data, wherein said dimensionally reduced common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least two types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• d) converting said numeric format data to a common unit system;
• and
• e) reducing the dimensionality of said common unit system data, wherein said dimensionally reduced common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least two types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• d) transforming said numeric format data into a Gaussian distribution;
• and
• e) converting said Gaussian distribution data to a common unit system, wherein said common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least three types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• and
• d) converting said numeric format data to a common unit system, wherein said common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least three types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• d) transforming said numeric format data into a Gaussian distribution;
• e) converting said Gaussian distribution data to a common unit system;
• and
• f) reducing the dimensionality of said common unit system data, wherein said dimensionally reduced common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least three types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• d) converting said numeric format data to a common unit system;
• and
• e) reducing the dimensionality of said common unit system data, wherein said dimensionally reduced common unit system data are a coherent data set which serves as a model for a biological system.

A method for creating a coherent data set for modeling biological systems, comprising:

• a) entering a unique identifier of at least one biological sample into a computer tracking system;
• b) storing in said computer tracking system disparate data, wherein said disparate data comprise at least three types of data and said disparate data are linked to said unique identifier;
• c) converting said linked disparate data to a numeric format;
• d) transforming said numeric format data into a Gaussian distribution;
• and
• e) converting said Gaussian distribution data to a common unit system, wherein said common unit system data are a coherent data set which serves as a model for a biological system.