[HTML][HTML] Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
Mapping gene regulatory networks from single-cell omics data
MWEJ Fiers, L Minnoye, S Aibar… - Briefings in …, 2018 - academic.oup.com
Single-cell techniques are advancing rapidly and are yielding unprecedented insight into
cellular heterogeneity. Mapping the gene regulatory networks (GRNs) underlying cell states …
cellular heterogeneity. Mapping the gene regulatory networks (GRNs) underlying cell states …
Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities
Gene regulation plays a critical role in the cellular processes that underlie human health and
disease. The regulatory relationship between transcription factors (TFs), key regulators of …
disease. The regulatory relationship between transcription factors (TFs), key regulators of …
Single-cell transcriptomic analysis of allergen-specific T cells in allergy and asthma
CD4+ T helper (TH) cells and regulatory T (Treg) cells that respond to common allergens
play an important role in driving and dampening airway inflammation in patients with …
play an important role in driving and dampening airway inflammation in patients with …
[HTML][HTML] Gene size matters: an analysis of gene length in the human genome
While it is expected for gene length to be associated with factors such as intron number and
evolutionary conservation, we are yet to understand the connections between gene length …
evolutionary conservation, we are yet to understand the connections between gene length …
Using recurrent neural networks for predicting type-2 diabetes from genomic and tabular data
The development of genomic technology for smart diagnosis and therapies for various
diseases has lately been the most demanding area for computer-aided diagnostic and …
diseases has lately been the most demanding area for computer-aided diagnostic and …
Deep learning for inferring gene relationships from single-cell expression data
Y Yuan, Z Bar-Joseph - Proceedings of the National …, 2019 - National Acad Sciences
Several methods were developed to mine gene–gene relationships from expression data.
Examples include correlation and mutual information methods for coexpression analysis …
Examples include correlation and mutual information methods for coexpression analysis …
Genome interpretation using in silico predictors of variant impact
Estimating the effects of variants found in disease driver genes opens the door to
personalized therapeutic opportunities. Clinical associations and laboratory experiments …
personalized therapeutic opportunities. Clinical associations and laboratory experiments …
Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis
and better prognosis for chronic diseases. It makes use of clinical data associated with the …
and better prognosis for chronic diseases. It makes use of clinical data associated with the …
Marked seasonal variation in structure and function of gut microbiota in forest and alpine musk deer
F Jiang, H Gao, W Qin, P Song, H Wang… - Frontiers in …, 2021 - frontiersin.org
Musk deer (Moschus spp.) is a globally endangered species due to excessive hunting and
habitat fragmentation. Captive breeding of musk deer can efficiently relieve the hunting …
habitat fragmentation. Captive breeding of musk deer can efficiently relieve the hunting …