In addition, the problems are different for studies explicitly designed for this purpose and the post-hoc analysis of existing data sets e.g. of phylogeographic studies.
In some countries, specific targets for organic agriculture have been set, e.g. to have ten percent of the agricultural area under organic production by 2010.
Valuable biological insights can be obtained according to the type of gene sets, e.g. coordinated action of molecular functions (functional gene sets) and putative motif synergy (promoter gene set) in a biological process.
Prognostic data set have been used for validation of prognostic significance of gene sets e.g. representing a certain pathway.
Molecular similarity is also used for applications such as the clustering of data sets, e.g. to identify common chemotypes [2, 3], and the identification of activity cliffs [4].
To avoid this, we sequentially split GWAS SNPs into 1000 non-overlapping SNP sets, e.g. first set consists of the 1st, 1001st, 2001st, etc. map ordered SNPs in the study.
The report discusses at least 20 different sets, e.g. the Health Care Quality Indicator set of the OECD, proposals from the US Agency for Healthcare Research and Quality (AHRQ) and from the Joint Commission on Accreditation of Healthcare Organizations, and several national programs, especially in European countries.
The FAQ section also contains a detailed description of Pro-Maya's training set e.g. number of proteins, number of mutated positions per proteins, functionality [SCOP classification (Andreeva et al., 2008)] and physical properties of the proteins.
The procedure contains information (Type 1) that is independent of contexts and can be generated by a specialist in a clinical setting, e.g. diagnosis of a disease and establishment of an impairment (ICD-10, body functions).
One of the major benefits of having all tools available in one framework is that it is straightforward to perform exactly the same processing on new molecules as the ones used on the training set, e.g. standardisation of molecules and centering and scaling of descriptors.
Summarising the literature, Howe [ 2] names several important consequences of learning in a primary care setting, e.g. retention of patient-oriented values more effectively than in previous curricula and enabling early application of theory into clinical practice.
