Abstract: Computational techniques are disclosed for using methylation profiles to classify the medication condition of a person. Initial sequence data is obtained containing sequences of an initial set of nucleic acids from a biological sample of a person. The initial sequence data is filtered to generate filtered sequence data that describes sequences of a filtered subset of nucleic acids from the biological sample. A methylation profile is determined for the filtered subset of nucleic acids from the biological sample. The methylation profile can be processed to determine a likelihood that the person has the specified medical condition. The system outputs an indication of the likelihood that the person has the specified medical condition.

Abstract: Computational techniques are disclosed for using methylation profiles to classify the medication condition of a person. Initial sequence data is obtained containing sequences of an initial set of nucleic acids from a biological sample of a person. The initial sequence data is filtered to generate filtered sequence data that describes sequences of a filtered subset of nucleic acids from the biological sample. A methylation profile is determined for the filtered subset of nucleic acids from the biological sample. The methylation profile can be processed to determine a likelihood that the person has the specified medical condition. The system outputs an indication of the likelihood that the person has the specified medical condition.

Abstract: Methods are provided for detecting an aneuploidy in a fetus. These methods can be used to detect trisomy 13, 8 or 21, amongst other aneupoloidies. In some embodiments, the methods include selectively purifying fetal DNA from a maternal biological sample using the methylation status of a CpG containing genomic sequence and genotyping the fetus using the purified fetal DNA, thereby detecting aneuploidy in the fetus.

Abstract: Methods are provided for detecting an aneuploidy in a fetus. These methods can be used to detect trisomy 13, 8 or 21, amongst other aneupoloidies. In some embodiments, the methods include selectively purifying fetal DNA from a maternal biological sample using the methylation status of a CpG containing genomic sequence and genotyping the fetus using the purified fetal DNA, thereby detecting aneuploidy in the fetus.

Abstract: Methods are provided for detecting an aneuploidy in a fetus. These methods can be used to detect trisomy 13, 8 or 21, amongst other aneupoloidies. In some embodiments, the methods include selectively purifying fetal DNA from a maternal biological sample using the methylation status of a CpG containing genomic sequence and genotyping the fetus using the purified fetal DNA, thereby detecting aneuploidy in the fetus.

Abstract: A computer-implemented method of solving a system optimization problem having a plurality of parameters of unknown value is comprised of randomly generating sets of values for unknown parameters within an the optimization problem. A population of original candidate solutions is generated by applying an algorithm for deterministic optimization to each of the sets of values. The population of solutions is ranked. Additional candidate solutions are iteratively generated from at least certain of the solutions in the population. The validity of the additional candidate solutions is checked, and the valid additional candidate solutions are added to the population of solutions. The population of solutions is re-ranked and at least one solution from the population of solutions is output when a predetermined criterion is met whereby the values for the parameters in the output solution may be used for controlling a system.