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 comprising metabolite data in said computer tracking system, wherein said data comprising metabolite 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 comprising metabolite data in said computer tracking system, wherein said data comprising metabolite 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 comprising metabolite data in said computer tracking system, wherein said data comprising metabolite 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 metabolite data and other 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 metabolite data and other 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 metabolite data and other 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 metabolite data and other 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 metabolite data and at least two other 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 metabolite data and at least two other 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 metabolite data and at least two other 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 metabolite data and at least two other 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 laboratory information management system (LIMS);
• b) storing data comprising RNA data, phenotype data, and metabolite data in said LIMS, 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, wherein said common unit system is deviation from a baseline;
• 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 laboratory information management system (LIMS);
• b) storing data comprising RNA data, phenotype data, and metabolite data in said LIMS, wherein said data are linked to said unique identifier;
• c) converting said linked 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 laboratory information management system (LIMS);
• b) storing data comprising RNA data, phenotype data, and metabolite data in said LIMS, 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 laboratory information management system (LIMS);
• b) storing data comprising RNA data, phenotype data, and metabolite data in said LIMS, 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.