Results 101 to 110 of about 3,225,031 (302)

Emergent Gestural Scores in a Recurrent Neural Network Model of Vowel Harmony

, 2021
Caitlin Smith, Charlie O’Hara, Eric Rosen, Paul Smolensky   +3 more
openalex   +1 more source

A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins

FEBS Letters, EarlyView.
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue, Sandrine Picaud, Régine Hepp, Stéphanie Pons, Uwe Maskos, Bertrand Lambolez, Ludovic Tricoire   +6 more
wiley   +1 more source

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network [PDF]

Physica A: Statistical Mechanics and its Applications, 2018
A. Sherstinsky
semanticscholar   +1 more source

The IQ‐compete assay for measuring mitochondrial protein import efficiencies in living yeast cells

FEBS Letters, EarlyView.
The efficiency of mitochondrial protein import depends on the properties of the newly synthesized precursor proteins. The Import and de‐Quenching Competition (IQ‐compete) assay is a novel method to monitor the import efficiency of different proteins by fluorescence in living yeast cells.
Yasmin Hoffman, Annika Egeler, Saskia Rödl, Johannes M. Herrmann   +3 more
wiley   +1 more source

Targeting EZH2 reverses thyroid cell dedifferentiation and enhances iodide uptake in anaplastic thyroid cancer

FEBS Letters, EarlyView.
Anaplastic thyroid cancer (ATC) lacks iodide uptake ability due to MAPK activation increasing the expression of the histone methyltransferase EZH2, which represses thyroid differentiation genes (TDGs) such as the sodium iodide symporter (NIS). Dual inhibition of MAPK (U0126) and EZH2 (EPZ6438/Tazemetostat) reverses this mechanism, thus restoring TDG ...
Diego Claro de Mello, Marcella Maringolo Cristovão, Guilherme Henrique, Vinicius Gonçalves Rodrigues, Caroline Serrano‐Nascimento, Edna Teruko Kimura, Cesar Seigi Fuziwara   +6 more
wiley   +1 more source

A Case of Recurrent Rosai-Dorfman Disease Successfully Treated with 2-Chlorodeoxyadenosine (Cladribine)

Clinical Pediatric Hematology-Oncology, 2019
Sinus histiocytosis with massive lymphadenopathy, also known as Rosai-Dorfman disease (RDD), is a rare histiocytic disorder of unknown etiology. Most patients with RDD have spontaneous remission, but in some patients, the disease recurs after complete ...
Min Hyung Cho, Hyun Joo Jung, Jae Ho Han, Jun Eun Park   +3 more
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Recurrent supraventricular tachycardia and necrotizing enterocolitis: A causative role or a simple association? A case report and literature review

Pediatric Reports, 2018
Insufficiency in mesenteric flow is a risk factor for the development of necrotizing enterocolitis (NEC). Recurrent episodes of supraventricular tachycardia (SVT) can lead to gut ischemia, with subsequent reperfusion injury.
Ghassan Nakib, Sameer Sajwani, Zahreddin Abusalah, Abdelazeim Abdallah, Nada Ibrahim, Aseel Fattah, Rossana Bussani, Valeria Calcaterra, Gloria Pelizzo   +8 more
doaj   +1 more source

Recurrent Neural Network Based Narrowband Channel Prediction

, 2006
In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction.
Hanzo, L., Liu, W., Yang, L-L.
core  

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source