Abstract: A method. The method includes receiving, at a computing device, data associated with a first plurality of consumers. The data comprises a combination of behavioral data and attitudinal data. The method also includes assigning a consumer of the first plurality of consumers to a first respective segments based on the received data, wherein the assigning is performed by the computing device. The method further includes calculating a goodness-of-fit score for the consumer of the first plurality of consumers for the first segment, wherein the calculating is performed by the computing device. Additionally, the method includes calculating a predicted goodness-of-fit score for a consumer of a second plurality of consumers for the first segment, the second plurality of consumers including at least the first plurality of consumers, wherein the calculating is performed by the computing device.

Abstract: A system. The system includes a computing device and a combiner module. The computing device includes a processor. The combiner module is communicably connected to the processor, and is configured to combine a score generated by a behavioral targeting model with a score generated by an attitudinal targeting model.

Abstract: A method. The method includes receiving, at a computing device, data associated with a first plurality of consumers. The data comprises a combination of behavioral data and attitudinal data. The method also includes assigning a consumer of the first plurality of consumers to a first respective segments based on the received data, wherein the assigning is performed by the computing device. The method further includes calculating a goodness-of-fit score for the consumer of the first plurality of consumers for the first segment, wherein the calculating is performed by the computing device. Additionally, the method includes calculating a predicted goodness-of-fit score for a consumer of a second plurality of consumers for the first segment, the second plurality of consumers including at least the first plurality of consumers, wherein the calculating is performed by the computing device.

Abstract: The invention provides compositions and methods for treating, preventing, and diagnosing diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, due, e.g., to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Example of diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders.

Abstract: The invention provides compositions and methods for treating, preventing, and diagnosing diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, due, e.g., to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Examples of diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders.

Abstract: The invention provides compositions and methods for treating, preventing, and diagnosing diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, due, e.g., to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Examples of diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders.

Abstract: The invention provides compositions and methods for treating, preventing, and diagnosing diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, due, e.g., to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Examples of diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders.

Abstract: The invention provides compositions and methods for treating, preventing, and diagnosing diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, due, e.g., to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Example of diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders.

Abstract: The invention provides compositions and methods for treating, preventing, and diagnosing diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, due, e.g., to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Example of diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders.