Results 121 to 130 of about 248,320 (248)

XAS Data Preprocessing of Nanocatalysts for Machine Learning Applications. [PDF]

Materials (Basel), 2021
Kartashov OO, Chernov AV, Polyanichenko DS, Butakova MA.   +3 more
europepmc   +1 more source

Engineered Microvascular Model of the Blood–Brain–Tumor Barrier Reveals Endothelial Remodeling in Diffuse Midline Glioma

Advanced Healthcare Materials, EarlyView.
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett, Yann S. Vanrobaeys, Tessy Teboh, Zakiya Smith, Anderson Scott, Cynthia Hajal, Paula T. Hammond, Joelle P. Straehla   +7 more
wiley   +1 more source

<i>xcms</i> in Peak Form: Now Anchoring a Complete Metabolomics Data Preprocessing and Analysis Software Ecosystem. [PDF]

Anal Chem
Louail P, Brunius C, Garcia-Aloy M, Kumler W, Storz N, Stanstrup J, Treutler H, Vangeenderhuysen P, Witting M, Neumann S, Rainer J.   +10 more
europepmc   +1 more source

NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline. [PDF]

Front Neuroinform, 2022
Enguix V, Kenley J, Luck D, Cohen-Adad J, Lodygensky GA.   +4 more
europepmc   +1 more source

Inhibition of VEGF‐Induced Angiogenesis and Vascular Leakage by Bicistronic Co‐Expression of Aflibercept and COMP‐Ang1

Advanced Healthcare Materials, EarlyView.
A bicistronic rAAV8 vector encoding Aflibercept (Afb) and COMP‐cAng1 simultaneously coordinates VEGF clearance and Tie2‐mediated vessel maturation. In a 3D angiogenesis‐on‐a‐chip model, rAAV8‐Afb/cAng1 effectively reverses pathological barrier breakdown under clinical disease‐mimicking challenges.
Bong‐Kyu Kim, Jaehong Min, Sang‐Hee Park, Subeen Shin, Sangbin Yu, Jeong‐Eun Park, Sujin Kim, Wooju Park, Jihoon Ko, Sunjong Kwon   +9 more
wiley   +1 more source

SysML: adaptive recommendation system for heterogeneous biomedical data preprocessing and modeling workflows. [PDF]

Brief Bioinform
Zhao J, Zhao X, Zhao C, Zhao Y, Lu X, Xu G.   +5 more
europepmc   +1 more source

A Comprehensive Evaluation of Metabolomics Data Preprocessing Methods for Deep Learning. [PDF]

Metabolites, 2022
Abram KJ, McCloskey D.
europepmc   +1 more source

Patterned ELR‐Gelatin Hydrogels Enable Rapid Endothelial Monolayer Formation via Bioactive Matrix Chemistry and Surface Topography

Advanced Healthcare Materials, EarlyView.
Micro‐ and nano‐patterned elastin‐like recombinamer (ELR) hydrogels integrate bioactive matrix chemistry with defined surface topography. The combined cues promote rapid endothelial cell capture, alignment, and monolayer formation on soft substrates.
Jagoda Litowczenko, Yannick Richter, Martyna Michalska, Piotr Paczos, Karine Tadevosyan, Daniel Uribe, Jose Carlos Rodriguez‐Cabello, Ioannis Papakonstantinou, Angel Raya   +8 more
wiley   +1 more source

SCPline: An interactive framework for the single-cell proteomics data preprocessing. [PDF]

Brief Bioinform
Guo S, Zhou S, Wang G, Wang F.
europepmc   +1 more source

Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies. [PDF]

Genome Biol, 2022
Ori APS, Lu AT, Horvath S, Ophoff RA.
europepmc   +1 more source