Latest AI and machine learning research in genetics for healthcare professionals.
Recent controversy in the cancer microbiome field highlights the need for more reliable microbial detection from human genomic data. Here, we develop PRISM, an efficient computational framework for precise microorganism identification and decontamination from low-biomass sequencing data. PRISM achieves robust performance when benchmarked on 230 independent datasets with known true-positive and con...
BACKGROUND: Multifetal pregnancies have increased preeclampsia risk, but the underlying pathogenesis may differ from that of singletons. It remains unclear whether twin placentas show molecular signs of preeclampsia synchronously. METHODS: We performed RNA sequencing on 32 individual placental samples from twin gestations grouped by preeclampsia status: 24 dichorionic twin (DT) and 8 monochorionic...
BACKGROUND: Oxaliplatin resistance significantly impairs therapeutic outcomes in colorectal cancer. However, reliable diagnostic markers for early det...
Colorectal cancer (CRC) remains a significant global health concern and is among the leading causes of cancer-related mortality. The disease often pro...
Transcription factor (TF) and target gene interactions are pivotal in gene regulatory networks, influencing molecular biology and disease mechanisms, ...
Lung cancer remains a leading cause of cancer-related mortality worldwide, with early and accurate diagnosis posing a critical challenge for improving...
The accurate detection of genetic variants is critical for advancing genomics research and precision medicine. However, this task remains challenging ...
BACKGROUND: Compared to non-triple-negative breast cancer (Non-TNBC), triple-negative breast cancer (TNBC) exhibits significantly poorer prognosis. Pr...
This study reports novel 21 aSTR (autosomal Short Tandem Repeats) allele frequencies from 538 individuals, as well as 11 triallelic profiles, represen...
Rapid, low-cost, and multiplexed nucleic acid testing is essential for human health but remains challenging. Although CRISPR-Cas systems offer high sp...
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health burden. Geroscience posits that accel...
Advancements in single-cell technologies and deep sequencing have expanded the B cell repertoire available for antibody discovery. However, selecting ...
Hopfield models, originally developed to study memory retrieval in neural networks, have become versatile tools for modeling diverse biological system...
The study explores how well machine learning and structural fingerprints can predict spectroscopic properties of ice (OH vibrational frequencies and 1...
This review examines how biotechnology advances (CRISPR/Cas9, next-generation targeted therapies, nanotechnology-based drug delivery, and immunotherap...
Esophageal squamous cell carcinoma (ESCC) remains a major health burden, particularly in Asia, with poor patient prognosis despite advancements in rad...
Over the last two decades, advancements in sequencing technology and data science have significantly deepened the study of transcriptomics, especially...
Genomic prediction has become central to human, animal and plant biology, enabling quantitative inference of how genetic variation shapes complex trai...
Promoters are the core regulatory elements of all genes. Their activity ensures the correct transcription level of each individual gene, which is esse...
Embryogenic efficiency in wheat microspores is driven by epigenetic regulation, homoeolog expression bias, and genotype-specific genomic variation, wi...