Sentence examples for gene problem from inspiring English sources

As a first step towards such a hybrid approach, local search methods have been shown to significantly improve the quality of solutions for the gap gene problem obtained by pLSA [ 15, 24] or a serial iES [ 19, 20].

Yan et al. developed "Length-Shuffle" gene prediction program, based on a Z curve representation of DNA sequences, specifically to address the short gene problem (Bioinformatics, vol. 14, pp. 685-690).

These procedures eliminated many EST errors, pseudogene, and multiple-copy/repeat gene problems when data were from diverse EST databases.

"A lot of the public wonders, 'Why haven't we cured all these things?' The answer, of course, is that cancer is not a one-gene problem; it's a many-thousands-of-factors problem".

"The answer is that cancer is not a one-gene problem.

As bioinformatics and systems biology offers large databases and novel computational tools for better understanding complex systems, we approach the disease-gene problem in a different way.

To identify the quality of the models of gene-gene interaction problem, the model includes SNPs and their corresponding genotypes.

When the aim is to classify a low number of samples characterized by a very large number of genes, problems with parameter estimation may arise, and dimensional reduction followed by clustering (Martella, 2006) is a valuable response to this scenario.

Thus, the original gene selection problem can be studied as the dimension selection problem for an optimal spatial segregation.

This has been dubbed the gene dropout problem.

Attempts to solve the gene delivery problem have used a variety of strategies, including naked DNA, DNA bound by lipids and/or facilitating proteins, and recombinant viruses.