Abstract: A computer-implemented method for identifying on-line comments as being legitimate or illegitimate is disclosed. The method includes receiving a comment directed to a piece of on-line content, randomly determining whether to review the comment manually, and providing for review of information regarding the comment by a manual reviewer if a determination is made to manually review the comment. The chance of determining whether to review the comment manually is dependent on outcomes of prior manual reviews of received comments.

Abstract: A computer-implemented method for identifying on-line comments as being legitimate or illegitimate is disclosed. The method includes receiving a comment directed to a piece of on-line content, randomly determining whether to review the comment manually, and providing for review of information regarding the comment by a manual reviewer if a determination is made to manually review the comment. The chance of determining whether to review the comment manually is dependent on outcomes of prior manual reviews of received comments.

Abstract: The present invention relates to systems, methods and software arrangements for the detection of variations in the copy number of a gene in a genome. These systems, methods and software arrangements are based on a simple prior model that uses a first process generating amplifications and deletions in the genome, and a second process modifying the signal obtained to account for the corrupting noise inherent in the technical methodology used to scan the genome. A Bayesian approach according to the present invention determines, e.g., the most plausible hypothesis of regional changes in the genome and their associated copy number. The systems, methods, and software arrangements can be are framed as optimization problems, in which a score function is minimized. The system, methods and software arrangements may be useful to assist the scientific study, diagnosis and/or treatment of any disease which has a genetic component, including but not limited to cancers and inherited diseases.

Abstract: The present invention relates to systems, methods and software arrangements for the detection of variations in the copy number of a gene in a genome. These systems, methods and software arrangements are based on a simple prior model that uses a first process generating amplifications and deletions in the genome, and a second process modifying the signal obtained to account for the corrupting noise inherent in the technical methodology used to scan the genome. A Bayesian approach according to the present invention determines, e.g., the most plausible hypothesis of regional changes in the genome and their associated copy number. The systems, methods, and software arrangements can be are framed as optimization problems, in which a score function is minimized. The system, methods and software arrangements may be useful to assist the scientific study, diagnosis and/or treatment of any disease which has a genetic component, including but not limited to cancers and inherited diseases.