Results 211 to 220 of about 523,896 (324)

QTL detection and genomic prediction for resistance to anthracnose in alfalfa (Medicago sativa). [PDF]

Plant Genome
Pégard M, Gréard C, Grelier M, Gras MC, Saint-Pierre L, Tharel B, Barre P, Julier B.   +7 more
europepmc   +1 more source

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Optimizing genomic prediction with transfer learning under a ridge regression framework. [PDF]

Plant Genome
Montesinos-López OA, Barajas-Ramirez EA, Salinas-Ruiz J, Montesinos-López A, Gerard G, Vitale P, Dreisigacker S, Pierre CS, Crossa J.   +8 more
europepmc   +1 more source

Stability of Genomic Selection prediction models across ages and environments [PDF]

, 2011
Márcio F. R. Resende, Patricio R Muñoz Del Valle, Juan J. Acosta, Marcos D. V. Resende, Dário Grattapaglia, Matias Kirst   +5 more
openalex   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

MDNN: memetic deep neural network for genomic prediction. [PDF]

Brief Bioinform
Mao Y, Peng X, Weng J, Jiang R, Kuang Y, Weng J, Pang R, Xiong Y, Gu W, Tang D.   +9 more
europepmc   +1 more source

1P256 Prediction of DNA-binding sites from sequence and structure using machine learning(Bioinformatics-structural genomics,Poster Presentations)

, 2007
Munazah Andrabi, Shandar Ahmad, Kenji Mizuguchi, Akinori Sarai   +3 more
openalex   +2 more sources

Effect of BLUP prediction on genomic selection: practical considerations to achieve greater accuracy in genomic selection [PDF]

, 2011
Patricio Muñoz, Márcio F. R. Resende, Gary F. Peter, Dudley A. Huber, Matias Kirst, Tania Quesada   +5 more
openalex   +1 more source

INF2‐Related Charcot–Marie–Tooth Disease in a Japanese Cohort: Genetic and Clinical Insights

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background INF2 mutations cause focal segmental glomerulosclerosis (FSGS) and Charcot–Marie–Tooth disease (CMT). Accurate genetic diagnosis is critical, as INF2‐related FSGS is typically resistant to immunotherapy yet rarely recurs after transplantation, and its associated neuropathy can mimic treatable immune‐mediated disorders such as ...
Chikashi Yano, Masahiro Ando, Yujiro Higuchi, Jun‐Hui Yuan, Akiko Yoshimura, Takahiro Hobara, Risa Nagatomo, Fumikazu Kojima, Yu Hiramatsu, Satoshi Nozuma, Tomonori Nakamura, Yusuke Sakiyama, Chika Matsuoka, Toru Yamashita, Takashi Kimura, Ayako Miyazaki, Chinatsu Kinjo, Kenji Yokochi, Nanami Yamanaka, Nozomu Matsuda, Tomoki Suichi, Yoshiyuki Hanaoka, Haruka Kojima, Kenichi Todo, Hiroyuki Ishiura, Jun Mitsui, Shoji Tsuji, Hiroshi Takashima   +27 more
wiley   +1 more source

Integration of physiological and remote sensing traits for improved genomic prediction of wheat yield. [PDF]

Plant Genome
García-Barrios G, Robles-Zazueta CA, Montesinos-López A, Montesinos-López OA, Reynolds MP, Dreisigacker S, Carrillo-Salazar JA, Acevedo-Siaca LG, Guerra-Lugo M, Thompson G, Pecina-Martínez JA, Crossa J.   +11 more
europepmc   +1 more source