Temporal modelling using single-cell transcriptomics

J Ding, N Sharon, Z Bar-Joseph - Nature Reviews Genetics, 2022 - nature.com
Methods for profiling genes at the single-cell level have revolutionized our ability to study
several biological processes and systems including development, differentiation, response …

Rise of deep learning for genomic, proteomic, and metabolomic data integration in precision medicine

D Grapov, J Fahrmann, K Wanichthanarak… - Omics: a journal of …, 2018 - liebertpub.com
Abstract Machine learning (ML) is being ubiquitously incorporated into everyday products
such as Internet search, email spam filters, product recommendations, image classification …

[HTML][HTML] Periodontal pathogens Porphyromonas gingivalis and Fusobacterium nucleatum promote tumor progression in an oral-specific chemical carcinogenesis …

AB Gallimidi, S Fischman, B Revach, R Bulvik… - Oncotarget, 2015 - ncbi.nlm.nih.gov
Oral squamous cell carcinoma (OSCC) is a lethal disease whose incidence is increasing.
Epidemiologic studies demonstrate an association between periodontitis and oral cancer …

[HTML][HTML] A review and tutorial of machine learning methods for microbiome host trait prediction

YH Zhou, P Gallins - Frontiers in genetics, 2019 - frontiersin.org
With the growing importance of microbiome research, there is increasing evidence that host
variation in microbial communities is associated with overall host health. Advancement in …

[PDF][PDF] Long noncoding RNA HOTTIP/HOXA13 expression is associated with disease progression and predicts outcome in hepatocellular carcinoma patients

L Quagliata, MS Matter, S Piscuoglio, L Arabi… - …, 2014 - Wiley Online Library
Hepatocellular carcinoma (HCC) is among the leading causes of cancer‐related death.
Despite the advances in diagnosis and management of HCC, the biology of this tumor …

Detection, clinical relevance and specific biological properties of disseminating tumour cells

K Pantel, RH Brakenhoff, B Brandt - Nature Reviews Cancer, 2008 - nature.com
Most cancer deaths are caused by haematogenous metastatic spread and subsequent
growth of tumour cells at distant organs. Disseminating tumour cells present in the …

[HTML][HTML] An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development

KE Reid, N Olsson, J Schlosser, F Peng, ST Lund - BMC plant biology, 2006 - Springer
Background Accuracy in quantitative real-time RT-PCR is dependent on high quality RNA,
consistent cDNA synthesis, and validated stable reference genes for data normalization …

[HTML][HTML] Selection of reliable reference genes for gene expression studies in peach using real-time PCR

Z Tong, Z Gao, F Wang, J Zhou, Z Zhang - BMC molecular biology, 2009 - Springer
Background RT-qPCR is a preferred method for rapid and reliable quantification of gene
expression studies. Appropriate application of RT-qPCR in such studies requires the use of …

Evaluation of potential reference genes for reverse transcription-qPCR studies of physiological responses in Drosophila melanogaster

F Ponton, MP Chapuis, M Pernice, GA Sword… - Journal of insect …, 2011 - Elsevier
Drosophila melanogaster is one of the most important genetic models and techniques such
as reverse transcription quantitative real-time PCR (RT-qPCR) are being employed …

[HTML][HTML] Selection of reference genes for gene expression studies in pig tissues using SYBR green qPCR

AB Nygard, CB Jørgensen, S Cirera, M Fredholm - BMC molecular biology, 2007 - Springer
Background Real-time quantitative PCR (qPCR) is a method for rapid and reliable
quantification of mRNA transcription. Internal standards such as reference genes are used to …