Results 161 to 170 of about 12,341,256 (312)

Evaluating statistical models for overdispersed multiomics data: a multiplex immunofluorescence case study. [PDF]

Am J Epidemiol
Thomas CE, Wesselink E, Takashima Y, Huyghe JR, Buchanan DD, Grant RC, Dias Costa A, Ugai T, Ogino S, Nowak JA, Peters U, Phipps AI, Hsu L.   +12 more
europepmc   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

Analysis of Risk Factors Affecting Epilepsy Seizure Frequency with Statistical Models. [PDF]

Sisli Etfal Hastan Tip Bul
Cetin S, Onur GY, Topbas E, Sanver SD.
europepmc   +1 more source

Improving Statistical Downscaling of General Circulation Models

, 2010
Credible projections of future local climate change are in demand. One way to accomplish this is to statistically downscale General Circulation Models (GCM’s).
Titus, Matthew Lee
core  

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

Molecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both, Ingrid A. M. Derks, Raphaël Vanleyssem, Marine Leclercq, Najla El Hachem, Pierre Close, Eric Eldering, Marco Vincent Haselager   +7 more
wiley   +1 more source

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

Molecular Oncology, EarlyView.
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira, Ana Teixeira‐Marques, Rui Freitas, João A Carvalho, Sara Monteiro‐Reis, Giorgio I. Russo, Rui Henrique, Carmen Jerónimo   +7 more
wiley   +1 more source

Statistical Models Validate Environmental Stability, Body Size and Life History Strategies as Predictors of Maximum Lifespan. [PDF]

Animals (Basel)
Sîrbu I, Benedek AM, Falniowski A.
europepmc   +1 more source

Generalized information criteria for high-dimensional sparse statistical jump models

We extend the generalized information criteria framework for model selection to high-dimensional sparse statistical jump models, a recent class of statistically robust and computationally efficient alternatives to hidden Markov models.
Petter N. Kolm, Erik Lindström, Federico Cortese, Kolm, Petter N.,, Lindström, Erik, Lindström, Erik,, Cortese, Federico P.,, Lund University., Cortese, Federico P., Kolm, Petter N.   +9 more
core   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

Statistical models for Alzheimer's disease clinical trials: Lessons learned from the DIAN-TU Platform Trial. [PDF]

J Alzheimers Dis
Li Y, Wang G, Xiong C, Shan G, Cao Y, Llibre-Guerra J, Hassenstab J, McDade E, Bateman RJ.   +8 more
europepmc   +1 more source