Results 51 to 60 of about 137,972 (308)

Gene regulatory networks from multifactorial perturbations using graphical lasso: Application to the DREAM4 challenge

, 2010
A major challenge in the field of systems biology consists of predicting gene regulatory networks based on different training data. Within the DREAM4 initiative, we took part in the multifactorial sub-challenge that aimed to predict gene regulatory ...
ter Braak, C.J.F., Kourmpetis, Yiannis A.I., ter Braak, Cajo J.F., Cajo J. F. ter Braak, Menéndez Patricia, Menéndez, P., Kourmpetis, Y.I.A., Patricia Menéndez, Fred A. van Eeuwijk, Menendez, Patricia, Yiannis A. I. Kourmpetis, Kourmpetis Yiannis A. I., Eeuwijk, F.A., van, van Eeuwijk, F.A., Braak, C.J.F., ter, ter Braak Cajo J. F., van Eeuwijk, Fred A., van Eeuwijk Fred A.   +17 more
core   +1 more source

Data‐driven Bayesian network learning analysis on the regulatory mechanism between carcinogenic genes and immune cells

Clinical and Translational Discovery, 2023
Background In recent years, it has become a research focus to accurately extract key genes influencing the occurrence and development of diseases from massive genomic data and study their regulatory mechanisms.
Weixiao Bu, Huaxia Mu, Mengyao Gao, Weiqiang Su, Fuyan Shi, Qinghua Wang, Suzhen Wang, Yujia Kong   +7 more
doaj   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

Molecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann, Eduardo García‐Galea, Alice O'Farrell, Zak Kinsella, Maxime Meylan, Florent Petitprez, Ingrid Arijs, Tom Venken, Hari Ps, Adrian Lärkeryd, Ian Miller, Janick Selves, Nadja Meindl‐Beinker, Fiorella Ruiz‐Pace, Elena Élez, Raquel Comas‐Navarro, Frank Lincoln, Dirk Fey, Gift Nyamundanda, Aoife Nolan, Joern Lewin, Raquel Perez‐Lopez, Jonathan Briody, Kathleen Bennett, Walter Kolch, David Matallanas, Alexander Kel, Enrique Arenas, Joaquín Arribas, Bart Ghesquière, Josep Tabernero, Julie Meilleroux, Deborah McNamara, Ray McDermott, Marvin Lim, Mary O'Reilly, Brian Bird, Lisa Stack, Lucia Moloney, Patrick Morris, Keith Egan, Maciej Milewski, Lars Scheuer, Joachim Behringer, Georg Bolz, Ramon Salazar, Cristina Santos, Andrea Ruiz, Orla Casey, Verena Murphy, Matthias Ebert, Livio Trusolino, Diether Lambrechts, Anguraj Sadanandam, Catherine Sautès‐Fridman, Jochen Prehn, Paolo Nuciforo, Jacques Fieschi, Florence Monville, Darran O'Connor, Wolf Fridman, Annette Byrne   +61 more
wiley   +1 more source

Microbial community characterization of multi-crop growouts in the XROOTS aeroponic–hydroponic system on the International Space Station

Frontiers in Microbiomes
Plant growth systems tested on the International Space Station (ISS) are small-area growth units that mostly use solid media. With NASA’s plan to send astronauts on long-duration exploration missions, there is a need to produce larger amounts of fresh ...
Christina L. M. Khodadad, Cory J. Spern, Mary E. Hummerick, Jennifer L. Gooden, Jennifer L. Gooden, Cristiana J. Morales, Raymond M. Wheeler, Orlando Melendez, Robert Morrow, John Wetzel, Ye Zhang   +10 more
doaj   +1 more source

Cross-products LASSO

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Negative co-occurrence is a common phenomenon in many signal processing applications. In some cases the signals involved are sparse, and this information can be exploited to recover them. In this paper, we present a sparse learning approach that explicitly takes into account negative co-occurrence. This is achieved by adding a novel penalty term to the
David Luengo, Javier Vía, Sandra Monzón, Tom Trigano, Antonio Artés-Rodríguez   +4 more
openaire   +2 more sources

Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]

, 2008
During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Konrath, Susanne, Kneib, Thomas, Fahrmeir, Ludwig   +2 more
core   +1 more source

Lasso-Logistic regression model for the identification of serum biomarkers of neurotoxicity induced by strychnos alkaloids

, 2022
As a traditional Chinese medicine, strychnos alkaloids have wide effects including antitumor, analgesic, and anti-inflammatory. However, the therapeutic window of strychnos alkaloids is quite narrow due to potential neurotoxicity.
Xiaoyang Sun (1796203), Binjie Wang (1590220), Shan Shi (1786969), Zhipeng Wang (154599), Xiaohui Chen (139673)   +4 more
core   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Panorama internacional y regional del lavado de activos y sus impactos sociales, políticos y económicos en Ecuador

Revista de Relaciones Internacionales, Estrategia y Seguridad
La investigación tiene como objetivo analizar el lavado de activos como un fenómeno social contemporáneo en los panoramas internacional y regional, y describir sus efectos sociales, políticos y económicos en Ecuador.
Edison Patricio Cisneros Corrales, Josué Israel Barragán Pacheco   +1 more
doaj   +1 more source

Predicting the risk of autoimmune thyroid disease in patients with vitiligo: Development and assessment of a new predictive nomogram

Frontiers in Endocrinology, 2023
BackgroundThis study aimed to develop an autoimmune thyroid disease (AITD) risk prediction model for patients with vitiligo based on readily available characteristics.MethodsA retrospective analysis was conducted on the clinical characteristics ...
Ze Ma, Menghan Cai, Kang Yang, Junru Liu, Tao Guo, Xiaojie Liu, Junling Zhang   +6 more
doaj   +1 more source