Results 81 to 90 of about 1,461 (185)

Phase variation in <i>Mannheimia haemolytica</i> challenges the static genome paradigm. [PDF]

Microbiol Spectr
Harhay GP, McClure KK, Brader KD, Kuhn KL, Smith TPL, Harhay DM.   +5 more
europepmc   +1 more source

A web-based prognostic nomogram incorporating VETC-associated imaging markers for predicting postoperative recurrence in hepatocellular carcinoma. [PDF]

BMC Cancer
Zhao YM, Xie SS, Yu YQ, Li ZX, Qin JM, Hu ZD, Zhang YM, Ye ZX, Yan JH, Shen W.   +9 more
europepmc   +1 more source

Numerical simulation of velocity gradient scattering waves in visco-acoustic smooth media based on F-K domain integration method. [PDF]

Sci Rep
Ou T, Chen G, Yang Y, Ren C, Wang Z, Lan P, Wu J, Liu H, Rongjie H.   +8 more
europepmc   +1 more source

A novel high-dimensional model for identifying regional DNA methylation QTLs. [PDF]

Biostatistics
Zhao K, Yang AY, Oualkacha K, Zeng Y, Klein K, Hudson M, Colmegna I, Bernatsky S, Greenwood CMT.   +8 more
europepmc   +1 more source

Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. [PDF]

World J Hepatol
Zhou SQ, Ke QH.
europepmc   +1 more source

Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. [PDF]

World J Hepatol
Zuo XY, Liu HF.
europepmc   +1 more source

M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. [PDF]

Front Big Data
Ning K, Lü Q, Liao X.
europepmc   +1 more source

Covariate-assisted bounds on causal effects with instrumental variables. [PDF]

J R Stat Soc Series B Stat Methodol
Levis AW, Bonvini M, Zeng Z, Keele L, Kennedy EH.   +4 more
europepmc   +1 more source

Machine learning integrating MRI and clinical features predicts early recurrence of hepatocellular carcinoma after resection. [PDF]

Sci Rep
Feng L, Luo N, Ruan F, Zheng X, Pan X, Li X, Fu L, Long L.   +7 more
europepmc   +1 more source

Efficient parameter identification using nonsmooth and nonconvex regularization for inverse problem of diffuse optical tomography. [PDF]

Sci Rep
Tang J, Bi B.
europepmc   +1 more source