Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Mira V. Han"'
Autor:
Richard Van, Daniel Alvarez, Travis Mize, Sravani Gannavarapu, Lohitha Chintham Reddy, Fatma Nasoz, Mira V. Han
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background RNA sequencing combined with machine learning techniques has provided a modern approach to the molecular classification of cancer. Class predictors, reflecting the disease class, can be constructed for known tissue types using the
Externí odkaz:
https://doaj.org/article/1f53e28f104c412b8a2fb317eca5b915
Autor:
Ronald Benjamin, Christopher J. Giacoletto, Zachary T. FitzHugh, Danielle Eames, Lindsay Buczek, Xiaogang Wu, Jacklyn Newsome, Mira V. Han, Tony Pearson, Zhi Wei, Atoshi Banerjee, Lancer Brown, Liz J. Valente, Shirley Shen, Hong-Wen Deng, Martin R. Schiller
Publikováno v:
Data in Brief, Vol 45, Iss , Pp 108641- (2022)
The data in this article are associated with the research paper “GigaAssay – an adaptable high-throughput saturation mutagenesis assay” [1]. The raw data are sequence reads of HIV-1 Tat cDNA amplified from cellular genomic DNA in a new single-p
Externí odkaz:
https://doaj.org/article/fbc7ec88175240008c75ec99a8904676
Autor:
Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteopor
Externí odkaz:
https://doaj.org/article/d62fca4849fd4679a89037fdc1c465b7
Autor:
Nicky Chung, G. M. Jonaid, Sophia Quinton, Austin Ross, Corinne E. Sexton, Adrian Alberto, Cody Clymer, Daphnie Churchill, Omar Navarro Leija, Mira V. Han
Publikováno v:
Mobile DNA, Vol 10, Iss 1, Pp 1-22 (2019)
Abstract Background Despite the long-held assumption that transposons are normally only expressed in the germ-line, recent evidence shows that transcripts of transposable element (TE) sequences are frequently found in the somatic cells. However, the
Externí odkaz:
https://doaj.org/article/bd014e8f295248a681d2777133c06357
Autor:
Corinne E. Sexton, Mira V. Han
Publikováno v:
Mobile DNA, Vol 10, Iss 1, Pp 1-11 (2019)
Abstract Though transposable elements make up around half of the human genome, the repetitive nature of their sequences makes it difficult to accurately align conventional sequencing reads. However, in light of new advances in sequencing technology,
Externí odkaz:
https://doaj.org/article/1a9ee2c12fc64618851456835bcef359
Autor:
Nicky Chung, G. M. Jonaid, Sophia Quinton, Austin Ross, Corinne E. Sexton, Adrian Alberto, Cody Clymer, Daphnie Churchill, Omar Navarro Leija, Mira V. Han
Publikováno v:
Mobile DNA, Vol 10, Iss 1, Pp 1-2 (2019)
Following publication of the original article [1], the authors reported errors in Table 2 wherein all "KZFP” in the gene names should be changed to “ZNF”.
Externí odkaz:
https://doaj.org/article/218789ee6235466ab69abb59cdc3515b
Publikováno v:
Trends Genet
Human specific endogenous retrovirus H (HERVH) is highly expressed in both naive and primed stem cells and is essential for pluripotency. Despite the proven relationship between HERVH expression and pluripotency, there is no single definitive model f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f24075114e33d349ad41b28428f2473
https://doi.org/10.1016/j.tig.2021.07.007
https://doi.org/10.1016/j.tig.2021.07.007
Autor:
Corinne E. Sexton, Mira V. Han
Chromatin states based on various histone modifications are a common annotation for genomes, and have been shown to correspond to regulatory functions such as enhancers and transcription start sites. With the advent of Hi-C and other chromatin confor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4e44317ab48379722c054e9087f7c09
https://doi.org/10.1101/2023.01.18.524458
https://doi.org/10.1101/2023.01.18.524458
Autor:
Robert A. Greenes, Fatma Nasoz, Kenneth G. Saag, Mira V. Han, Qing Wu, Jongyun Jung, Bibek Bhattarai
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteoporotic Frac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf8ce87560c67c55d0e73fdc0ce8636c
https://doaj.org/article/d62fca4849fd4679a89037fdc1c465b7
https://doaj.org/article/d62fca4849fd4679a89037fdc1c465b7
Publikováno v:
Calcif Tissue Int
The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fbea8f6800b0092b72599373cf7ded0
https://doi.org/10.1007/s00223-020-00734-y
https://doi.org/10.1007/s00223-020-00734-y