Results 101 to 110 of about 1,726,062 (336)
FEBS Open Bio, EarlyView.Skin biopsies taken from a patient with an ultra‐rare disorder as well as controls were cultured for up to 473 days. The chunks of skin were serially transferred to a new culture plate when confluent with fibroblasts. Different generations of fibroblasts were analyzed for cell and molecular properties, proliferation, and competence for reprogramming to
Sudiksha Rathan‐Kumar +3 more
wiley +1 more source
DeepPeptide predicts cleaved peptides in proteins using conditional random fields. [PDF]
Bioinformatics, 2023 Teufel F +6 more
europepmc +1 more source
FEBS Open Bio, EarlyView.This research protocol outlines a workflow for nuclear magnetic resonance (NMR)‐based metabolomics in the agri‐food sector. Using two case studies—strawberry leaves (solid matrix) and wine (liquid matrix)—it details the procedures for sample preparation, data acquisition, and processing.
Andrea Fernández‐Veloso +4 more
wiley +1 more source
RECURSIVE LINEAR FILTERING OF THE RANDOM DYNAMIC FIELDS UNDER A PRIORI UNCERTAINTY
Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2018 The task of filtering random dynamic fields is relevant for a number of applications. To solve it, one can use a statistical approach based on the Kalman filter theory.
V. M. Artemiev +2 more
doaj
On the construction of stationary processes and random fields
Dependence ModelingWe propose a new method to construct a stationary process and random field with a given decreasing covariance function and any one-dimensional marginal distribution. The result is a new class of stationary processes and random fields.
Lee Jeonghwa
doaj +1 more source
Deep Randomly-Connected Conditional Random Fields For Image Segmentation
IEEE Access, 2017 The use of Markov random fields (MRFs) is a common approach for performing image segmentation, where the problem is modeled using MRFs that incorporate priors on neighborhood nodes to allow for efficient Maximum a Posteriori inference.
Mohammad Javad Shafiee +2 more
doaj +1 more source
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. [PDF]
IEEE/ACM Trans Comput Biol Bioinform, 2023 Ravikumar V +4 more
europepmc +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source