Genetics

Characterization of the complete chloroplast genome of sunflower family species (Compositae).

is a perennial medicinal plant belong the sunflower family Compositae, which is widely distributed in China and some other Asian countries. The complete chloroplast genome sequence of was sequenced using the Illumina Hiseq 4000 platform. The size of the chloroplast genome is 151,329 bp, with an average GC content of 37.5%. This circular molecule has a typical quadripartite structure containing ...

Genetic Variation in Cytochrome P450 2R1 and Vitamin D Binding Protein Genes are associated with Vitamin D Deficiency in Adolescents.

Genome Wide Association Studies (GWAS) have evaluated several genes related to vitamin D synthesis, metabolism and transport. They have proposed a genetic basis for low levels of vitamin D in the blood. The current study aims to investigate the relationship between certain vitamin D-associated gene variants and vitamin D deficiency in Iranian adolescents. In this case-control study, the genomic ...

A genetic programming-based approach to identify potential inhibitors of serine protease of .

We applied genetic programming approaches to understand the impact of descriptors on inhibitory effects of serine protease inhibitors of () and the ...

CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network.

With recent advances in DNA sequencing technologies, fast acquisition of large-scale genomic data has become commonplace. For cancer studies, in parti...

Gene expression based survival prediction for cancer patients-A topic modeling approach.

Cancer is one of the leading cause of death, worldwide. Many believe that genomic data will enable us to better predict the survival time of these pat...

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.

With the increase in the amount of text information in different real-life applications, automatic text-summarization systems become more predominant ...

An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences.

As the number of known proteins has expanded, how to accurately identify DNA binding proteins has become a significant biological challenge. At presen...

A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine.

BACKGROUND: Recent studies have shown that long non-coding RNAs (lncRNAs) play a crucial role in the induction of cancer through epigenetic regulation...

Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique.

Pricing of Hanwoo beef in the Korean market is primarily based on meat quality, and particularly on marbling score. The ability to accurately predict ...

Characterization of the complete chloroplast genome of (Caprifoliaceae), a long history herb species plant from China.

is a common ornamental and medicinal plant in North America and East Asia. In this study, the complete chloroplast genome of was presented and annot...

Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Machine learning methods show promise to translate univariate biomarker findings into clinically useful multivariate decision support systems. At curr...

Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery.

Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare including research and chemical discoveries. Using large am...

Identifying Cancer-Specific circRNA-RBP Binding Sites Based on Deep Learning.

Circular RNAs (circRNAs) are extensively expressed in cells and tissues, and play crucial roles in human diseases and biological processes. Recent stu...

ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Treating patients with major depressive disorder is challenging because it takes several months for antidepressants prescribed for the patients to tak...

Classification of DNA damages on segmented comet assay images using convolutional neural network.

BACKGROUND AND OBJECTIVE: Identification and quantification of DNA damage is a very significant subject in biomedical research area which still needs ...

Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.

Alternative stress echocardiography protocols such as handgrip exercise are potentially more favorable towards large-scale screening scenarios than th...

Athena: Automated Tuning of k-mer based Genomic Error Correction Algorithms using Language Models.

The performance of most error-correction (EC) algorithms that operate on genomics reads is dependent on the proper choice of its configuration paramet...

Splice sites detection using chaos game representation and neural network.

A novel method is proposed to detect the acceptor and donor splice sites using chaos game representation and artificial neural network. In order to ac...

A Deep Learning Approach for Detecting Copy Number Variation in Next-Generation Sequencing Data.

Copy number variants (CNV) are associated with phenotypic variation in several species. However, properly detecting changes in copy numbers of sequenc...

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.

The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to develop new and improved genomic prediction algor...