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Jordan Anaya
Jordan Anaya
Johns Hopkins
Geverifieerd e-mailadres voor berkeley.edu - Homepage
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OncoLnc: linking TCGA survival data to mRNAs, miRNAs, and lncRNAs
J Anaya
PeerJ Computer Science 2, e67, 2016
6322016
Meta-analysis of tRNA derived RNA fragments reveals that they are evolutionarily conserved and associate with AGO proteins to recognize specific RNA targets
P Kumar, J Anaya, SB Mudunuri, A Dutta
BMC biology 12, 1-14, 2014
5392014
tRFdb: a database for transfer RNA fragments
P Kumar, SB Mudunuri, J Anaya, A Dutta
Nucleic acids research 43 (D1), D141-D145, 2015
2352015
The lncRNA DRAIC/PCAT29 Locus Constitutes a Tumor-Suppressive Nexus
K Sakurai, BJ Reon, J Anaya, A Dutta
Molecular cancer research 13 (5), 828-838, 2015
1182015
Expression of lncRNAs in low-grade gliomas and glioblastoma multiforme: an in silico analysis
BJ Reon, J Anaya, Y Zhang, J Mandell, B Purow, R Abounader, A Dutta
PLoS medicine 13 (12), e1002192, 2016
812016
Statistical heartburn: an attempt to digest four pizza publications from the Cornell food and brand lab
T van der Zee, J Anaya, NJL Brown
BMC nutrition 3, 1-15, 2017
482017
A structural role for the PHP domain in E. coli DNA polymerase III
T Barros, J Guenther, B Kelch, J Anaya, A Prabhakar, M O’Donnell, ...
BMC structural biology 13, 1-12, 2013
432013
A pan-cancer analysis of prognostic genes
J Anaya, B Reon, WM Chen, S Bekiranov, A Dutta
PeerJ 3, e1499, 2016
422016
Recovering data from summary statistics: Sample parameter reconstruction via iterative techniques (SPRITE)
JA Heathers, J Anaya, T van der Zee, NJL Brown
PeerJ Preprints, 2018
402018
The GRIMMER test: A method for testing the validity of reported measures of variability
J Anaya
PeerJ Preprints 4, e2400v1, 2016
252016
OncoRank: A pan-cancer method of combining survival correlations and its application to mRNAs, miRNAs, and lncRNAs
J Anaya
PeerJ Preprints 4, e2574v1, 2016
182016
Genomic landscapes and hallmarks of mutant RAS in human cancers
RB Scharpf, A Balan, B Ricciuti, J Fiksel, C Cherry, C Wang, ...
Cancer research 82 (21), 4058-4078, 2022
62022
Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status
J Anaya, JW Sidhom, F Mahmood, AS Baras
Nature biomedical engineering 8 (1), 57-67, 2024
5*2024
Statistical infarction: A postmortem of the Cornell Food and Brand Lab pizza publications
J Anaya, T van der Zee, N Brown
PeerJ Preprints, 2017
42017
PrePubMed: A PubMed for preprints
J Anaya
http://www.omnesres.com/research/prepubmed/, 2016
22016
Probabilistic mixture models improve calibration of panel-derived tumor mutational burden in the context of both tumor-normal and tumor-only sequencing
J Anaya, JW Sidhom, CA Cummings, AS Baras, ...
Cancer Research Communications 3 (3), 501-509, 2023
12023
Read depth correction for somatic mutations
J Anaya, AS Baras
Biorxiv, 2022.02. 16.480761, 2022
12022
Characterization of non-monotonic relationships between tumor mutational burden and clinical outcomes
J Anaya, J Kung, AS Baras
bioRxiv, 2024.01. 16.575937, 2024
2024
1272 Probabilistic mixture models improve calibration of panel-derived tumor mutational burden in the context of both tumor-normal and tumor-only sequencing
J Anaya, JW Sidhom, A Baras
Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022
2022
The proposed promiscuity value of an HLA can vary significantly depending on the source data used
J Anaya, AS Baras
bioRxiv, 2021.10. 01.462828, 2021
2021
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Artikelen 1–20