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Many microarray studies, however, are performed with fewer than five samples in each group due to high-cost limitation or scarcity of biological source materials.
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We present a heterogeneous non-competitive immunological detection assay for peptide and protein antigens from crude extracts of biological sources.
FTA® technology is a novel method designed to simplify the collection, shipment, archiving and purification of nucleic acids from a wide variety of biological sources.
Besides, cholinergic and amyloid drugs, in this article we summarize proteinopathy-based drugs as AD therapeutics from a variety of biological sources.
Formaldehyde is a ubiquitous compound that is a product of biological sources (from photooxidation of atmospheric hydrocarbons) ([Levy 1971]; [Zimmerman et al. 1978]) and environmental sources (emissions from industrial processes) ([Ando 1998]).
The biospecific adsorbents that are formed have a high affinity for a single compound and are ideally suitable for the purification of proteins from a variety of biological sources.
We thus used several of the largest sets available that cover a wide range of technologies and a range of biological sources and experimental conditions.
Here, we first discuss the major techniques currently used to profile miRNAs from a variety of biological sources, including clinical samples.
We also evaluate the impact of biological sources of conflict: saturation in morphological changes and molecular substitutions, and other processes that result in incongruent trees, including convergent morphological and molecular evolution.
The ability to impartially monitor metabolic transformations from a variety of biological sources has also allowed metabolomics to thrive within the context of enzyme function discovery, typically in combination with recombinant genetic and protein expression tools.
The key properties of all four methods are summarized in Table 1, and a comparison of the methods' computational complexities is provided in Additional file 1.> In the remainder of this work we formulate TBEST and systematically compare its performance to that of DTC, SC and SLB on a number of benchmark datasets originating from a variety of biological sources.
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