| OncoLnc: linking TCGA survival data to mRNAs, miRNAs, and lncRNAs J Anaya PeerJ Computer Science 2, e67, 2016 | 655 | 2016 |
| 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 | 577 | 2014 |
| tRFdb: a database for transfer RNA fragments P Kumar, SB Mudunuri, J Anaya, A Dutta Nucleic acids research 43 (D1), D141-D145, 2015 | 255 | 2015 |
| 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 | 122 | 2015 |
| 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 | 83 | 2016 |
| 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 | 51 | 2017 |
| 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 | 46 | 2018 |
| 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 | 45 | 2013 |
| A pan-cancer analysis of prognostic genes J Anaya, B Reon, WM Chen, S Bekiranov, A Dutta PeerJ 3, e1499, 2016 | 44 | 2016 |
| The GRIMMER test: A method for testing the validity of reported measures of variability J Anaya PeerJ Preprints 4, e2400v1, 2016 | 26 | 2016 |
| OncoRank: A pan-cancer method of combining survival correlations and its application to mRNAs, miRNAs, and lncRNAs J Anaya PeerJ Preprints 4, e2574v1, 2016 | 18 | 2016 |
| 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 | 14 | 2022 |
| 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 | 7* | 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 | 5 | 2017 |
| 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 | 2 | 2023 |
| PrePubMed: A PubMed for preprints J Anaya http://www.omnesres.com/research/prepubmed/, 2016 | 2 | 2016 |
| Read depth correction for somatic mutations J Anaya, AS Baras Biorxiv, 2022.02. 16.480761, 2022 | 1 | 2022 |
| Characterization of non-monotonic relationships between tumor mutational burden and clinical outcomes J Anaya, J Kung, AS Baras Cancer Research Communications, 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 |
