Results 171 to 180 of about 16,538,551 (301)

Multi-Crystal X-Ray Diffraction (MCXRD) Bridges the Crystallographic Characterisation Gap in Chemistry and Materials Science: Application to MOFs. [PDF]

Angew Chem Int Ed Engl
Smith JP, Smith R, Roseveare TM, Bara D, Thom AJR, Forgan RS, Warren MR, Warren AJ, Owen RL, Brammer L.   +9 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

PMSE Centennial: Celebration of Success and New Frontiers in Polymer Materials Science and Engineering. [PDF]

ACS Macro Lett
Grunlan MA, Korley LTJ, Lin Q, Soles CL, Advincula R, Jayaraman A, Cosgriff-Hernandez E, Reichmanis E, Lutkenhaus JL, Priestley RD, Voit B, Epps TH.   +11 more
europepmc   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Material Science [PDF]

Journal of Pharmacy and Pharmacology, 2007
openaire   +1 more source

A comprehensive benchmark of active learning strategies with AutoML for small-sample regression in materials science. [PDF]

Sci Rep
Bi J, Xu Y, Conrad F, Wiemer H, Ihlenfeldt S.   +4 more
europepmc   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Materials science approaches in the development of broad-spectrum antiviral therapies

Nature Materials, 2020
Nam‐Joon Cho, Jeffrey S. Glenn
semanticscholar   +1 more source

Correction: Artificial Intelligence-Powered Materials Science. [PDF]

Nanomicro Lett
Bai X, Zhang X.
europepmc   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source