Results 131 to 140 of about 135,319 (315)

Hub genes identified through PPI analysis.

, 2022
Hub genes identified through PPI analysis.
Yun Chen (279569), Ying Zhao (16546), Chenyun Miao (10668003), Xiaojie Fang (8319717), Qin Zhang (58638), Ruye Wang (3986681)   +5 more
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Characteristics of hub genes. A- Expression of hub genes.

, 2012
The distribution of expression of the 74 hubs and of the 362 non hubs is plotted in blue and orange respectively. The expression of a gene is computed based on tiling array experiments performed on the same 16 cell lines and tissues as the RACE ...
Jacqueline Chrast (189560), Ryan R. Murray (189563), Alfonso Valencia (1343), Julien Lagarde (180888), Alexandre Reymond (11328), David Martin (3178), Cédric Howald (189553), Jorg Drenkow (189575), Modesto Orozco (10295), Adam Frankish (189610), Chenwei Lin (189567), Philippe Batut (189594), Thomas R. Gingeras (189618), Sylvain Foissac (26958), Roderic Guigó (9091), Erica Dumais (189571), Jennifer Harrow (189603), Bryan R. Lajoie (189588), Marc Vidal (19892), Philipp Kapranov (13711), Paolo Ribeca (189562), Josep Lluís Gelpí (189580), Sarah Djebali (189529), Michael L. Tress (189578), Stylianos E. Antonarakis (138831), Vincent Lacroix (189541), Xinping Yang (32981), Jonathan M. Mudge (189547), Nynke L. van Berkum (189584), Lila Ghamsari (189565), Tim Hubbard (26509), Christelle Borel (138807), John Stamatoyannopoulos (40201), Catherine Ucla (60187), Alex Dobin (189598), Ian Bell (111186), Job Dekker (48174), Kourosh Salehi-Ashtiani (189614)   +37 more
core   +1 more source

Detailed information of the hub genes.

, 2022
Detailed information of the hub genes.
Lei Qin (27694), Jun Kuai (1635886), Peisheng Sun (12042708), Guangpeng Li (312144), Lanfang Zhang (5744324), Fang Yang (123514), Lu Yang (30847)   +6 more
core   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

Summary of functions of hub genes.

, 2021
Summary of functions of hub genes.
Chuansen Lu (11473345), Dan Huang (122168), Zhongyan Zhao (11254731), Yike Zhu (11473342)   +3 more
core   +1 more source

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

Top 20 of hub genes.

, 2019
Network 3 predicted Hub genes and their homologs.
Antonio Luna-González (741087), José Luis Juárez-Morales (7224188), Ilie S. Racotta (7224191), Norma Estrada (7224203), Oswaldo Valdes-Lopez (7224197), Humberto Villarreal-Colmenares (7224194), Carmen Rodríguez-Jaramillo (7224200), Felipe Ascencio (7224206), Adrián E. Velázquez-Lizárraga (7224185)   +8 more
core   +1 more source

Functional roles of 15 hub genes.

, 2022
Functional roles of 15 hub genes.
Huanqing Liu (11214000), Jun Lyu (6201101), Tingting Li (10553), Chunsheng Dong (12005639)   +3 more
core   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source