Results 171 to 180 of about 116,997 (341)

A Family of Human MicroRNA Genes from Miniature Inverted-Repeat Transposable Elements

, 2007
Jittima Piriyapongsa, I. King Jordan
openalex   +2 more sources

Transposable elements and circular DNAs [PDF]

, 2016
Tobias Mourier
openalex   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell [PDF]

Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao Wu, Jun Ding   +7 more
openalex   +1 more source

ACTIVATION OF TRANSPOSABLE ELEMENTS AS A MOLECULAR CAUSE OF AGING [PDF]

, 2017
Stephen L. Helfand, Julia E. Wood, B.C. Jones, James G. Taylor   +3 more
openalex   +1 more source

Transposable Elements Regulate Tail Development and Fat Deposition in Sheep Fetuses. [PDF]

Animals (Basel)
Liang Q, Yang H, Dong H, Andersson G, Bongcam-Rudloff E, Wan P, Turganbekovich Kulatayev B, Rouzi M, Yang M, Han J.   +9 more
europepmc   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

Evolution of the mammalian transcription factor binding repertoire via transposable elements [PDF]

, 2008
Guillaume Bourque, Bernard Leong, Vinsensius B. Vega, Xi Chen, Yen Ling Lee, Kandhadayar G. Srinivasan, Joon-Lin Chew, Yijun Ruan, Chia‐Lin Wei, Huck‐Hui Ng, Edison T. Liu   +10 more
openalex   +1 more source

Transposable elements: a key piece in the genomic evolution and adaptation of Myrtaceae species. [PDF]

Mob DNA
Waschburger EL, Filgueiras JPC, Antoniolli HDRM, Deprá M, Guyot R, Turchetto-Zolet AC.   +5 more
europepmc   +1 more source