| Year |
Citation |
Score |
| 2023 |
Bajwa A, Rastogi R, Kathail P, Shuai RW, Ioannidis NM. Characterizing uncertainty in predictions of genomic sequence-to-activity models. Biorxiv : the Preprint Server For Biology. PMID 38187742 DOI: 10.1101/2023.12.21.572730 |
0.337 |
|
| 2023 |
Huang C, Shuai RW, Baokar P, Chung R, Rastogi R, Kathail P, Ioannidis NM. Personal transcriptome variation is poorly explained by current genomic deep learning models. Nature Genetics. 55: 2056-2059. PMID 38036790 DOI: 10.1038/s41588-023-01574-w |
0.436 |
|
| 2023 |
Jagota M, Ye C, Albors C, Rastogi R, Koehl A, Ioannidis N, Song YS. Cross-protein transfer learning substantially improves disease variant prediction. Genome Biology. 24: 182. PMID 37550700 DOI: 10.1186/s13059-023-03024-6 |
0.342 |
|
| 2022 |
Yamamoto R, Chung R, Vazquez JM, Sheng H, Steinberg PL, Ioannidis NM, Sudmant PH. Tissue-specific impacts of aging and genetics on gene expression patterns in humans. Nature Communications. 13: 5803. PMID 36192477 DOI: 10.1038/s41467-022-33509-0 |
0.312 |
|
| 2020 |
Wu Z, Ioannidis NM, Zou J. Predicting target genes of noncoding regulatory variants with ICE. Bioinformatics (Oxford, England). PMID 32330225 DOI: 10.1093/Bioinformatics/Btaa254 |
0.478 |
|
| 2019 |
Liu W, Pajusalu S, Lake NJ, Zhou G, Ioannidis N, Mittal P, Johnson NE, Weihl CC, Williams BA, Albrecht DE, Rufibach LE, Lek M. Estimating prevalence for limb-girdle muscular dystrophy based on public sequencing databases. Genetics in Medicine : Official Journal of the American College of Medical Genetics. PMID 31105274 DOI: 10.1038/S41436-019-0544-8 |
0.385 |
|
| 2018 |
Ioannidis NM, Wang W, Furlotte NA, Hinds DA, Bustamante CD, Jorgenson E, Asgari MM, Whittemore AS. Gene expression imputation identifies candidate genes and susceptibility loci associated with cutaneous squamous cell carcinoma. Nature Communications. 9: 4264. PMID 30323283 DOI: 10.1038/S41467-018-06149-6 |
0.519 |
|
| 2018 |
Wang W, Ollila HM, Whittemore AS, Demehri S, Ioannidis NM, Jorgenson E, Mignot E, Asgari MM. Genetic variants in the HLA class II region associated with risk of cutaneous squamous cell carcinoma. Cancer Immunology, Immunotherapy : Cii. PMID 29754218 DOI: 10.1007/S00262-018-2168-2 |
0.429 |
|
| 2017 |
Ioannidis NM, Davis JR, DeGorter MK, Larson NB, McDonnell SK, French AJ, Battle AJ, Hastie TJ, Thibodeau SN, Montgomery SB, Bustamante CD, Sieh W, Whittemore AS. FIRE: functional inference of genetic variants that regulate gene expression. Bioinformatics (Oxford, England). PMID 28961785 DOI: 10.1093/Bioinformatics/Btx534 |
0.508 |
|
| 2017 |
Yesantharao P, Wang W, Ioannidis NM, Demehri S, Whitemore AS, Asgari MM. Cutaneous Squamous Cell Cancer (cSCC) Risk and the Human Leukocyte Antigen (HLA) System. Human Immunology. PMID 28185865 DOI: 10.1016/J.Humimm.2017.02.002 |
0.349 |
|
| 2016 |
Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, Musolf A, Li Q, Holzinger E, Karyadi D, Cannon-Albright LA, Teerlink CC, Stanford JL, Isaacs WB, Xu J, et al. REVEL: an Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. American Journal of Human Genetics. PMID 27666373 DOI: 10.1016/J.Ajhg.2016.08.016 |
0.437 |
|
| 2016 |
Asgari MM, Wang W, Ioannidis NM, Itnyre J, Hoffmann T, Jorgenson E, Whittemore AS. Identification of Susceptibility Loci for Cutaneous Squamous Cell Carcinoma. The Journal of Investigative Dermatology. PMID 26829030 DOI: 10.1016/J.Jid.2016.01.013 |
0.451 |
|
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