Results 61 to 70 of about 148,880 (283)

Machine Learning and Integrative Analysis of Biomedical Big Data. [PDF]

, 2019
Recent developments in high-throughput technologies have accelerated the accumulation of massive amounts of omics data from multiple sources: genome, epigenome, transcriptome, proteome, metabolome, etc. Traditionally, data from each source (e.g., genome)
Choi, Howard, Chung, Neo Christopher, Mirza, Bilal, Ping, Peipei, Wang, Jie, Wang, Wei   +5 more
core   +1 more source

Network Analysis-Based Approach for Exploring the Potential Diagnostic Biomarkers of Acute Myocardial Infarction [PDF]

, 2016
Acute myocardial infarction (AMI) is a severe cardiovascular disease that is a serious threat to human life. However, the specific diagnostic biomarkers have not been fully clarified and candidate regulatory targets for AMI have not been identified.
Jiaqi Chen, Ling Yu, Siwei Zhang, Xia Chen   +3 more
core   +2 more sources

Comparative analysis of weighted gene co-expression networks in human and mouse

PLOS ONE, 2017
The application of complex network modeling to analyze large co-expression data sets has gained traction during the last decade. In particular, the use of the weighted gene co-expression network analysis framework has allowed an unbiased and systems-level investigation of genotype-phenotype relationships in a wide range of systems.
Marius Eidsaa, Lisa Stubbs, Eivind Almaas   +2 more
openaire   +5 more sources

Hierarchy of Gene Expression Data is Predictive of Future Breast Cancer Outcome [PDF]

, 2013
We calculate measures of hierarchy in gene and tissue networks of breast cancer patients. We find that the likelihood of metastasis in the future is correlated with increased values of network hierarchy for expression networks of cancer-associated genes,
Chen, Man, Deem, Michael W.
core   +1 more source

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Novel prognostic genes and subclasses of acute myeloid leukemia revealed by survival analysis of gene expression data

BMC Medical Genomics, 2021
Background Acute myeloid leukemia (AML) is biologically heterogeneous diseases with adverse prognosis. This study was conducted to find prognostic biomarkers that could effectively classify AML patients and provide guidance for treatment decision making.
Yanli Lai, Guifang OuYang, Lixia Sheng, Yanli Zhang, Binbin Lai, Miao Zhou   +5 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Identification of a key glioblastoma candidate gene, FUBP3, based on weighted gene co-expression network analysis

BMC Neurology, 2022
Background Glioblastoma multiforme (GBM) is the most common aggressive malignant brain tumor. However, the molecular mechanism of glioblastoma formation is still poorly understood.
Jianmin Li, Zhao Zhang, Ke Guo, Shuhua Wu, Chong Guo, Xinfan Zhang, Zi Wang   +6 more
doaj   +1 more source

Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice. [PDF]

, 2016
To gain insight into how mutant huntingtin (mHtt) CAG repeat length modifies Huntington's disease (HD) pathogenesis, we profiled mRNA in over 600 brain and peripheral tissue samples from HD knock-in mice with increasing CAG repeat lengths.
A Dobin, A Hodges, A Kuhn, A Pal, A Reiner, A Valencia, Andreas Tebbe, B Zhang, B Zhang, BM Bolstad, C Zuccato, CA Ross, Christoph Schaab, Daniel J Lavery, David Howland, DI Shirasaki, Doxa Chatzopoulou, DV Zaykin, EH Aylward, Eliana Marisa Ramos, ES Deneris, ES Lein, Fuying Gao, G Fishell, GA Smith, Giovanni Coppola, HT Orr, I Al-Ramahi, IS Seong, Ismael Al-Ramahi, J Cox, J Cox, J Labbadia, JA Miller, JC Jacobsen, JE Phillips, Jeffrey P Cantle, Jeffrey S Aaronson, JF Gusella, JF Gusella, Jim Rosinski, JM Dowen, JM Van Raamsdonk, JP Vonsattel, Juan Botas, K Becanovic, K Monahan, K Sharma, Karla El-Zein, LB Menalled, LB Menalled, LB Menalled, LS Kaltenbach, M Biagioli, M Heiman, M MACDONALD, M Mann, M Mielcarek, MA Pouladi, MC Oldham, MI Love, MK Lobo, MT Lin, N Wang, Nan Wang, P Giles, P Grange, P Langfelder, P Langfelder, P Langfelder, P Langfelder, P Langfelder, Peter Langfelder, PF Durrenberger, RC Gentleman, S Anders, S Horvath, S Toyoda, Sandeep Deverasetty, Seung Kwak, Steve Horvath, T Geiger, T Lu, WE Johnson, WV Chen, X Gu, X Gu, X William Yang, XH Lu, Xiao-Hong Lu, Y Benjamini, Y Guo, Y Shen, Y Wang, Yining Zhao   +94 more
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source