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Items: 10

1.

Variant Interpretation for Cancer (VIC): a computational tool for assessing clinical impacts of somatic variants.

He MM, Li Q, Yan M, Cao H, Hu Y, He KY, Cao K, Li MM, Wang K.

Genome Med. 2019 Aug 23;11(1):53. doi: 10.1186/s13073-019-0664-4.

2.

Tumoral expression of drug and xenobiotic metabolizing enzymes in breast cancer patients of different ethnicities with implications to personalized medicine.

Li Y, Steppi A, Zhou Y, Mao F, Miller PC, He MM, Zhao T, Sun Q, Zhang J.

Sci Rep. 2017 Jul 6;7(1):4747. doi: 10.1038/s41598-017-04250-2.

3.

Big Data Analytics for Genomic Medicine.

He KY, Ge D, He MM.

Int J Mol Sci. 2017 Feb 15;18(2). pii: E412. doi: 10.3390/ijms18020412. Review.

4.

Integrative Comparison of mRNA Expression Patterns in Breast Cancers from Caucasian and Asian Americans with Implications for Precision Medicine.

Shi Y, Steppi A, Cao Y, Wang J, He MM, Li L, Zhang J.

Cancer Res. 2017 Jan 15;77(2):423-433. doi: 10.1158/0008-5472.CAN-16-1959. Epub 2016 Nov 15.

5.

The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem.

Maadooliat M, Bansal NK, Upadhya J, Farazi MR, Li X, He MM, Hebbring SJ, Ye Z, Schrodi SJ.

Front Genet. 2016 Dec 12;7:217. doi: 10.3389/fgene.2016.00217. eCollection 2016.

6.

Pathogenic Mutations in Cancer-Predisposing Genes: A Survey of 300 Patients with Whole-Genome Sequencing and Lifetime Electronic Health Records.

He KY, Zhao Y, McPherson EW, Li Q, Xia F, Weng C, Wang K, He MM.

PLoS One. 2016 Dec 8;11(12):e0167847. doi: 10.1371/journal.pone.0167847. eCollection 2016.

7.

SparkText: Biomedical Text Mining on Big Data Framework.

Ye Z, Tafti AP, He KY, Wang K, He MM.

PLoS One. 2016 Sep 29;11(9):e0162721. doi: 10.1371/journal.pone.0162721. eCollection 2016.

8.

3DSEM++: Adaptive and intelligent 3D SEM surface reconstruction.

Tafti AP, Holz JD, Baghaie A, Owen HA, He MM, Yu Z.

Micron. 2016 Aug;87:33-45. doi: 10.1016/j.micron.2016.05.004. Epub 2016 May 7.

PMID:
27200484
9.

Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine.

Carter TC, He MM.

J Healthc Eng. 2016;2016. doi: 10.1155/2016/3617572. Review.

10.

Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records.

Van Driest SL, Wells QS, Stallings S, Bush WS, Gordon A, Nickerson DA, Kim JH, Crosslin DR, Jarvik GP, Carrell DS, Ralston JD, Larson EB, Bielinski SJ, Olson JE, Ye Z, Kullo IJ, Abul-Husn NS, Scott SA, Bottinger E, Almoguera B, Connolly J, Chiavacci R, Hakonarson H, Rasmussen-Torvik LJ, Pan V, Persell SD, Smith M, Chisholm RL, Kitchner TE, He MM, Brilliant MH, Wallace JR, Doheny KF, Shoemaker MB, Li R, Manolio TA, Callis TE, Macaya D, Williams MS, Carey D, Kapplinger JD, Ackerman MJ, Ritchie MD, Denny JC, Roden DM.

JAMA. 2016 Jan 5;315(1):47-57. doi: 10.1001/jama.2015.17701.

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