Genetics

A new era of mass data storage in artificial chromosome.

Machine learning algorithm for precise prediction of 2'-O-methylation (Nm) sites from experimental RiboMethSeq datasets.

Analysis of epitranscriptomic RNA modifications by deep sequencing-based approaches brings an essent...

Predicting residues involved in anti-DNA autoantibodies with limited neural networks.

Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing field...

THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites.

N-methylguanosine (m7G) is an essential, ubiquitous, and positively charged modification at the 5' c...

Single-molecule fluorescence imaging and deep learning reveal highly heterogeneous aggregation of amyloid-β 42.

Polymorphism in the structure of amyloid fibrils suggests the existence of many different assembly p...

Optimal Control of Whole Network Control System Using Improved Genetic Algorithm and Information Integrity Scale.

WNCS (Whole network control system) is a network-based distributed control system. The control loop ...

PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information.

Human DNA sequencing has revealed numerous single nucleotide variants associated with complex diseas...

Relationships Among Arsenic-Related Traits, Including Rice Grain Arsenic Concentration and Straighthead Resistance, as Revealed by Genome-Wide Association.

There is global concern that rice grains and foods can contain harmful amounts of arsenic (As), moti...

An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.

Current research endeavors in the application of artificial intelligence (AI) methods in the diagnos...

DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.

Although computational approaches have been complementing high-throughput biological experiments for...

Comparative Study of Classification Algorithms for Various DNA Microarray Data.

Microarrays are applications of electrical engineering and technology in biology that allow simultan...

The ability to classify patients based on gene-expression data varies by algorithm and performance metric.

By classifying patients into subgroups, clinicians can provide more effective care than using a unif...

Are batch effects still relevant in the age of big data?

Batch effects (BEs) are technical biases that may confound analysis of high-throughput biotechnologi...

A copula based topology preserving graph convolution network for clustering of single-cell RNA-seq data.

Annotation of cells in single-cell clustering requires a homogeneous grouping of cell populations. T...

Generalized Fast Discharges Along the Genetic Generalized Epilepsy Spectrum: Clinical and Prognostic Significance.

OBJECTIVE: To investigate the electroclinical characteristics and the prognostic impact of generaliz...

Analysis of Bank Credit Risk Evaluation Model Based on BP Neural Network.

Commercial banks are of great value to social and economic development. Therefore, how to accurately...

Base-resolution prediction of transcription factor binding signals by a deep learning framework.

Transcription factors (TFs) play an important role in regulating gene expression, thus the identific...

Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal.

The COVID-19 has resulted in one of the world's most significant worldwide lock-downs, affecting hum...

Update on risk factors and biomarkers of sudden unexplained cardiac death.

Sudden cardiac death (SCD) accounts for approximately 15%-20% of all deaths worldwide, the causes of...

Breast cancer detection using artificial intelligence techniques: A systematic literature review.

Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed...

Application of High Throughput Technologies in the Development of Acute Myeloid Leukemia Therapy: Challenges and Progress.

Acute myeloid leukemia (AML) is a complex hematological malignancy characterized by extensive hetero...