Results 321 to 330 of about 31,546,768 (400)
Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models. [PDF]
Alali M, Imani M.
europepmc +1 more source
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang+9 more
wiley +1 more source
EADC: An Efficient Anonymous Data Collection Scheme with Blockchain in Internet of Things. [PDF]
Si Z, Wang J, Zhao P, Wang X, Song J.
europepmc +1 more source
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui+15 more
wiley +1 more source
Correction to: On the Use and Benefits of Electronic Data Collection Systems: A Tutorial on Countee. [PDF]
Slanzi CM, Fernand JK.
europepmc +1 more source
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli+15 more
wiley +1 more source
A Joint Approach for Energy Replenishment and Data Collection with Two Distinct Types of Mobile Chargers in WRSN. [PDF]
Li Y, Shao T, Gao W, Lin F.
europepmc +1 more source