Latest AI and machine learning research in genetics for healthcare professionals.
Allele specific antibody response against the polymorphic system of HLA is the allogeneic response m...
We use deep transfer learning to quantify histopathological patterns across 17,355 hematoxylin and e...
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environm...
The knowledge of DNA-binding proteins would help to understand the functions of proteins better in c...
For the past decades, simulation-based likelihood-free inference methods have enabled researchers to...
Based on the feature and communication of neurons in animal neural systems, spiking neural P systems...
With advances in sequencing technology, a vast amount of genomic sequence information has become ava...
Many expression quantitative trait loci (eQTL) studies have been conducted to investigate the biolog...
N4-methylcytosine as one kind of modification of DNA has a critical role which alters genetic perfor...
BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the cu...
We present Augur, a method to prioritize the cell types most responsive to biological perturbations ...
Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences hav...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...
Predicting effects of gene regulatory elements (GREs) is a longstanding challenge in biology. Machin...
The study of complex microbial communities typically entails high-throughput sequencing and downstre...
Electronic nicotine delivery systems (ENDS) are regulated tobacco products and often contain flavor ...
Over the past decade, DNA nanotechnology has spawned a broad variety of functional nanostructures ta...
Cryptography is a method for preventing illegitimate access to information and data. In this paper, ...
Accurately predicting chromatin loops from genome-wide interaction matrices such as Hi-C data is cri...
We propose an image based cellular contractile force evaluation method using a machine learning tech...
Breast cancer (BC) is a multifactorial disease and the most common cancer in women worldwide. We des...