Xuefei Wang, Ph.D.
Affiliations: | 2007 | University of New Mexico, Albuquerque, NM, United States |
Area:
Electronics and Electrical Engineering, Bioinformatics BiologyGoogle:
"Xuefei Wang"Parents
Sign in to add mentor| Susan R. Atlas | grad student | 2007 | Univ. of New Mexico | |
| (Hybrid neuro-fuzzy inference models for outcome prediction in acute leukemia using gene expression and covariate data.) | ||||
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Publications
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| Liu H, Shen Z, Wang Z, et al. (2016) Increased expression of IDO associates with poor postoperative clinical outcome of patients with gastric adenocarcinoma. Scientific Reports. 6: 21319 |
| Harvey RC, Mullighan CG, Wang X, et al. (2010) Identification of novel cluster groups in pediatric high-risk B-precursor acute lymphoblastic leukemia with gene expression profiling: correlation with genome-wide DNA copy number alterations, clinical characteristics, and outcome. Blood. 116: 4874-84 |
| Kang H, Chen IM, Wilson CS, et al. (2010) Gene expression classifiers for relapse-free survival and minimal residual disease improve risk classification and outcome prediction in pediatric B-precursor acute lymphoblastic leukemia. Blood. 115: 1394-405 |
| Moe M, Meuwissen T, Lien S, et al. (2007) Gene expression profiles in testis of pigs with extreme high and low levels of androstenone. Bmc Genomics. 8: 405 |
| Martin SB, Mosquera-Caro MP, Potter JW, et al. (2007) Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia. Leukemia. 21: 1341-4 |
| Gorodkin J, Cirera S, Hedegaard J, et al. (2007) Porcine transcriptome analysis based on 97 non-normalized cDNA libraries and assembly of 1,021,891 expressed sequence tags. Genome Biology. 8: R45 |
| Harvey RC, Davidson GS, Wang X, et al. (2007) Expression Profiling Identifies Novel Genetic Subgroups with Distinct Clinical Features and Outcome in High-Risk Pediatric Precursor B Acute Lymphoblastic Leukemia (B-ALL). A Children’s Oncology Group Study. Blood. 110: 1430-1430 |
| Wilson CS, Davidson GS, Martin SB, et al. (2006) Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome prediction. Blood. 108: 685-96 |