Results 41 to 50 of about 7,342,964 (293)

Edge-weighting of gene expression graphs [PDF]

, 2009
In recent years, considerable research efforts have been directed to micro-array technologies and their role in providing simultaneous information on expression profiles for thousands of genes.
Kerr, Gráinne, Crane, Martin, DIMITRI PERRIN, HEATHER J. RUSKIN, Ruskin, Heather J., Perrin, Dimitri, MARTIN CRANE, GRAINNE KERR, Ruskin, Heather J   +8 more
core   +3 more sources

Identification of drug and protein-protein interaction network among stress and depression: A bioinformatics approach

Informatics in Medicine Unlocked, 2023
The fields of data mining, computational biology, and statistics have been combined to form the massive research area of bioinformatics. In the areas of genetics, education, and healthcare, bioinformatics integrates the tools available in different ...
Md. Abul Basar, Md. Faruk Hosen, Bikash Kumar Paul, Md. Rakibul Hasan, S.M. Shamim, Touhid Bhuyian   +5 more
doaj   +1 more source

Pharmacogenomics of Hypertension and Preeclampsia: Focus on Gene–Gene Interactions [PDF]

Frontiers in Pharmacology, 2018
Hypertension is a leading cause of cardiovascular mortality, but only about half of patients on antihypertensive therapy achieve blood pressure control. Preeclampsia is defined as pregnancy-induced hypertension and proteinuria, and is associated with increased maternal and perinatal mortality and morbidity.
Marcelo R. Luizon, Marcelo R. Luizon, Daniela A. Pereira, Valeria C. Sandrim   +3 more
openaire   +4 more sources

The analyses of C677T and A1298C Polymorphisms on the MTHFR gene and Factor V Leiden mutation in Pseudotumor Cerebri Patients [PDF]

, 2013
Background: In this study, we aimed to investigate the genetic factors which may cause to thrombosis such as C677T and A1298C methylen-thetrahydropholate reductase (MTHFR) gene polymorphisms and Factor V Leiden mutation. Methods: A case-control study was
Aslan, Adem, Erdogan, Mujgan Ozdemir, Yildiz, Handan, Korkmaz, Serhat, Cosar, Murat, Eser, Betul, Eser, Olcay   +6 more
core   +4 more sources

Machine Learning for Detecting Gene-Gene Interactions [PDF]

Applied Bioinformatics, 2006
Complex interactions among genes and environmental factors are known to play a role in common human disease aetiology. There is a growing body of evidence to suggest that complex interactions are 'the norm' and, rather than amounting to a small perturbation to classical Mendelian genetics, interactions may be the predominant effect.
Brett A, McKinney, David M, Reif, Marylyn D, Ritchie, Jason H, Moore   +3 more
openaire   +2 more sources

Gene-gene interaction indifferent GC tissue samples.

, 2018
(a). Edges represents jointly contribute gene-gene interaction, illustrates TP73 gene-gene network upper show the first 25 genes that interact with TP73 gene. (b) down figure show four genes that interact with TP73.
Sana Akhtar Alvi (5745980), Esam Ibraheem Azhar (5745989), Ali Sawan (5745986), Muhammad Imran Naseer (338314), Hussein Sheikh Ali Mohamoud (5745977), Asif Ahmed Jiman-Fatani (5745983), Fehmida Bibi (3555899), Isse Ali (5745974), Muhammad Yasir (3555896)   +8 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Gene-Gene Interaction between APOA5 and USF1: Two Candidate Genes for the Metabolic Syndrome [PDF]

, 2009
Objective: The metabolic syndrome, a major cluster of risk factors for cardiovascular diseases, shows increasing prevalence worldwide. Several studies have established associations of both apolipoprotein A5 (APOA5) gene variants and upstream stimulatory ...
Wichmann, Heinz-Erich, Holzapfel, C., Singmann, Paula, Grallert, Harald, Singmann, P., Wichmann, H.-E., Holzapfel, Christina, Illig, T., Klingenspor, Martin, Klingenspor, M., Grallert, H., Herder, C., Illig, Thomas, Rathmann, Wolfgang, Baumert, Jens, Meisinger, Christa, Rathmann, W., Baumert, J.J., Klopp, Norman, Klopp, N., Herder, Christian, Meisinger, C., Singmann, Paula;Baumert, Jens;Herder, Christian;Meisinger, Christa;Holzapfel, Christina;Klopp, Norman;Wichmann, H.-Erich;Klingenspor, Martin;Rathmann, Wolfgang;Illig, Thomas;Grallert, Harald, Singmann, P., Baumert, J., Herder, C., Meisinger, C., Holzapfel, C., Klopp, N., Wichmann, H.-E., Klingenspor, M., Rathmann, W., Illig, T., Grallert, H.   +23 more
core   +1 more source

A gene–gene interaction between the vascular endothelial growth factor a and brain-derived neurotrophic factor genes is associated with psychological distress in the Taiwanese population

Taiwanese Journal of Psychiatry, 2019
Background: Vascular endothelial growth factor A (VEGFA) and brain-derived neurotrophic factor (BDNF), the most abundant and widely expressed neurotrophic factors in the brain, are believed to play an important rôle in depression and anxiety.
Eugene Lin, Po- Hsiu Kuo, Yu- Li Liu, Albert C Yang, Shih- Jen Tsai   +4 more
doaj   +1 more source

Diverged and Active Partitiviruses in Lichen

Frontiers in Microbiology, 2020
The lichen is a microbial consortium that mainly consists of fungi and either algae (Viridiplantae) or cyanobacteria. This structure also contains other bacteria, fungi, and viruses.
Syun-ichi Urayama, Syun-ichi Urayama, Syun-ichi Urayama, Nobutaka Doi, Fumie Kondo, Yuto Chiba, Yoshihiro Takaki, Miho Hirai, Yasutaka Minegishi, Daisuke Hagiwara, Daisuke Hagiwara, Takuro Nunoura   +11 more
doaj   +1 more source