Results 81 to 90 of about 9,261,553 (282)

Multiple Random Variables

, 2022
In the previous chapters single random variables have been discussed in continuous, discrete, and mixed forms based on the probability functions. It is also possible to define multiple random variables in a probability space.
Pedrycz, Witold, Catak, Muammer, Allahviranloo, Tofigh A.   +2 more
core   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

Molecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault, Capucine Heraud, Mélissa Correia de Oliveira, Véronique Neaud, Valérie Valesco, Valérie Prouzet‐Mauleon, Béatrice Turcq, Jean‐William Dupuy, Anne‐Aurélie Raymond, Sabrina Croce, Frédéric Saltel, Valérie Lagrée, Violaine Moreau   +12 more
wiley   +1 more source

A Research and Study Course for learning the concept of discrete randomvariable using Monte Carlo methods

Modelling in Science Education and Learning, 2017
The concept of random variable is a mathematical construct that presents some theoretical complexity. However, learning  this  concept  can  be  facilitated  if  it  is  presented  as  the  end  of  a  sequential  process  of  modeling  of  a  real event.
Vicente D. Estruch, Francisco J. Boigues, Anna Vidal   +2 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy

Molecular Oncology, EarlyView.
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir, Elena Haro‐Martínez, Sandra Blasco‐Benito, Chiara Cannatà, José Ángel Palomeque, Anna López‐Plana, Maria Sanz‐Flores, Marc Sabartés, Cristina Fornaguera, Toni Celià‐Terrassa   +9 more
wiley   +1 more source

Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan

Scientific Reports
Machine learning (ML) is a valuable tool in healthcare, enabling the prediction of disease progression through data-driven regression and nonlinear modeling.
Yosuke Shimada, Hiroshi Kataoka, Saori Nishio, Junichi Hoshino, Keiju Hiromura, Yoshitaka Isaka, Satoru Muto   +6 more
doaj   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

Random-effects panel (logistic) regressions of reversal probability on treatment variables.

Random-effects panel (logistic) regressions of reversal probability on treatment variables.
Raúl López-Pérez (17729458), Eli Spiegelman (5769260)   +1 more
core   +1 more source

An outer membrane vesicle‐associated two‐track model for enterotoxigenic Bacteroides fragilis oncogenesis

Molecular Oncology, EarlyView.
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi, Sang‐Hyeon Yoo, Ki‐Jong Rhee   +2 more
wiley   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source