Results 171 to 180 of about 4,105,012 (242)

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

Establishing a national pediatric stem cell transplantation registry in Iran addressing implementation and data quality challenges. [PDF]

Sci Rep
Shamsian BS, Momtazmanesh N, Zeinali V, Sayad A, Ordoo F, Kamfar S.   +5 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

Intensive, Repeated Self-Report Measures: Should We Be Concerned About Changes in Data Quality Over Time?

JMIR Mhealth Uhealth
Stone AA, Schneider S, Toledo MJ, Hernandez R.   +3 more
europepmc   +1 more source

Integrating DHIS2 and R for Enhanced Cholera Surveillance in Lebanon: A Case Study on Improving Data Quality. [PDF]

Int J Environ Res Public Health
Jouny AT, Sweidan H, Baakliny M, Ghosn N.   +3 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

EEG Data Quality in Large-Scale Field Studies in India and Tanzania. [PDF]

eNeuro
Vianney JM, Swaminathan S, Newson JJ, Parameshwaran D, Puthanmadam Subramaniyam N, Roy SS, Machunda R, Sapuli A, Pramanik S, Arun Kumar JV, Tiwari P, Mathews Mathuram GN, Bembeleza LB, Laiser JP, Luhwago WJ, Maduka TP, Mollel JO, Mollel NG, Mugizi AA, Mwamakula IL, Rweyemamu RE, Samweli UF, Simpito JI, Shirima KE, Anbalagan A, Arumugam SK, Dhanapal V, Gunasekaran K, Kashyap N, Kumar D, Pandey D, Pandey P, Panneerselvam A, Rai S, Rajendran P, Sekar S, Sivalingam O, Soni P, Soni P, Thiagarajan TC.   +39 more
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

fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience. [PDF]

Commun Biol
Yücel MA, Luke R, Mesquita RC, von Lühmann A, Mehler DMA, Lührs M, Gemignani J, Abdalmalak A, Albrecht F, de Almeida Ivo I, Artemenko C, Ashton K, Augustynowicz P, Bajracharya A, Bannier E, Barth B, Bayet L, Behrendt J, Khani HB, Borot L, Borrell JA, Brigadoi S, Brink K, Bulgarelli C, Caruyer E, Chen HC, Copeland C, Corouge I, Cutini S, Di Lorenzo R, Dresler T, Eggebrecht AT, Ehlis AC, Erdoğan SB, Evenblij D, Ferdous TR, Fracalossi V, Franzén E, Gallagher A, Gerloff C, Gervain J, Goldhamer N, Gossé LK, Guérin SMR, Guevara E, Hosseini SMH, Innes-Brown H, Int-Veen I, Jaffe-Dax S, Jégou N, Kawaguchi H, Kelsey C, Kent M, Kessler R, Kherbawy N, Klein F, Kochavi N, Kolisnyk M, Koren Y, Kroczek A, Kvist A, Lin CP, Löw A, Luan S, Mao D, Martins GG, Middell E, Montero-Hernandez S, Mutlu MC, Novi SL, Paquette N, Paranawithana I, Parmet Y, Peelle JE, Peng K, Peng T, Pereira J, Pinti P, Pollonini L, Jounghani AR, Reindl V, Ringels W, Schopp B, Schulte A, Schulte-Rüther M, Segel A, Ala TS, Shader MJ, Shavit H, Sherafati A, Soltanlou M, Sorger B, Speh E, Stubbs KD, Stute K, Sullivan EF, Tak S, Tipado Z, Tremblay J, Vahidi H, Van Eeckhoutte M, Vannasing P, Vergotte G, Vincent MA, Weiss E, Yang D, Yükselen G, Zapała D, Zemanek V.   +108 more
europepmc   +1 more source