lung Cancer is believed to be among the primary factors for death across the world. Within this paper, statistical and machine learning techniques are employed to build a computer aided diagnosis system for the purpose of classifying lung cancer. The system includes preprocessing phase, feature extraction phase, feature selection phase and classification phase. For feature extraction, wavelet t...

Marker-assisted background selection is a powerful molecular tool that can enhance breeding efficiency through the analysis of large number markers representing entire genomic for precise selection. In present study, transcriptomes 38 cucumber inbred lines with diverse traits were sequenced single nucleotide polymorphism (SNP) mining practical application to commercial breeding. A total 62,378 ...

Genomic selection (GS) has become a very intense field of research during recent years. GS may be defined as the simultaneous selection for many (tens or hundreds of thousands of) markers, which cover the entire genome in a dense manner so that all genes are expected to be in linkage disequilibrium with at least some of the markers. In a sense, GS is marker assisted selection on a genome wide s...

This is the first comprehensive review to machine learning regression aided TE material discovery, which includes data generation, descriptor selection, models, and model evaluation.

Signature learning from gene expression consists into selecting a subset of molecular markers which best correlate with prognosis. It can be cast as a feature selection problem. Here we use as optimality criterion the separation between survival curves of clusters induced by the selected features. We address some important problems in this fields such as developing an unbiased search procedure ...

We describe here a new approach to marker recycling, a controlled sequence of steps in which a genetic marker is selected and then lost. Marker recycling is important for genetic manipulation, because it allows a single selection marker to be used repeatedly. Our approach relies upon the ability of the CRISPR-Cas9 system to make a targeted double-strand break in DNA and the expectation that a d...