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Identification of Receptors for Eating Disorders using Gap Statistic Methods
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 7 |
| Year of Publication: 2017 |
| Authors: T. Venkata Sai Krishna, Yesu Babu Adimulam, R. Kiran Kumar |
10.5120/ijca2017915638
|
T. Venkata Sai Krishna, Yesu Babu Adimulam, R. Kiran Kumar . Identification of Receptors for Eating Disorders using Gap Statistic Methods. International Journal of Computer Applications. 176, 7 ( Oct 2017), 28-31. DOI=10.5120/ijca2017915638
Abstract
Eating disorders are an important cause of physical and psychosocial morbidity in adolescent girls and young adult women [1]. Eating disorders (EDs) are classified into three main types, anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder. Other rare disorders include, Purging disorder (purging without binge eating) and Night eating syndrome (excessive night time food consumption), Avoidant/Restrictive Food Intake Disorder, Rumination Disorder etc [2]. Eating disorders and certain associated with genetic predisposition and traits. There is a clear and possibly substantial genetic contribution to both anorexia nervosa and bulimia nervosa. Factors that contribute EDs include several risk factors including biological, psychological, social and interpersonal factors. Network analysis—the study of molecular interactions equates with the mathematical field of graph theory, in which the assembly of pair wise connections (edges) between discrete objects (nodes) coalesces to form a network, or graph [3].
References
- Li Y, Agarwal P (2009) A Pathway-Based View of Human Diseases and Disease Relationships. PLoS ONE 4(2): e4346.doi:10.1371/journal.pone.0004346.
- American Psychiatric Association’s Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), published in 2013 ISBN 978-0-89042-554-1.
- Barabasi, A.L. & Albert, R. Emergence of scaling in random networks. Science 286, 509–512 (1999).
- American Psychiatric Association’s Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), published in 2013 ISBN 978-0-89042-554-1.
- https://www.nimh.nih.gov/health/topics/eating-disorders
- Rosen JC, Leitenberg H, Fisher C, Khazam C. Binge-eating episodes in bulimia nervosa: the amount and type of food consumed. Int J Eat Disord 1986; 5: 255–67.
- Lilenfeld LR, Kaye WH. Genetic studies of anorexia and bulimia nervosa. In: Hoek HW, Treasure JL, Katzman MA, eds. Neurobiology in the treatment of eating disorders. Chichester: Wiley, 1998: 169–94.
- Strober M, Freeman R, Lampert C, Diamond J, Kaye W. Controlled family study of anorexia nervosa and bulimia nervosa: evidence of shared liability and transmission of partial syndromes. Am J Psychiatry 2000; 157: 393–401.
- Collier DA, Arranz MJ, Li T, et al. Association between 5-HT2A gene promoter polymorphism and anorexia nervosa. Lancet 1997; 350: 412.
- Connors ME. Developmental vulnerabilities for eating disorders. In: Smolak L, Levine MP, Striegel-Moore R, eds. The developmental psychopathology of eating disorders: implications for research, prevention and treatment. New Jersey: Lawrence Erlbaum, 1996:285–310.
- Fairburn CG, Welch SL, Doll HA, Davies BA, OConnor ME. Risk factors for bulimia nervosa: a community-based case-control study. Arch Gen Psychiatry 1997; 54: 509–17.
- Fairburn CG, Cooper Z, Doll HA, Welch SL. Risk factors for anorexia nervosa: three integrated case-control comparisons.Arch Gen Psychiatry 1999; 56: 468–76.
- Fairburn CG, Doll HA, Welch SL, et al. Risk factors for binge eating disorder: a community-based case-control study. Arch Gen Psychiatry 1998; 55: 425–32.
- Tibshirani, R., Walther, G. and Hastie, T. (2001). Estimating the number of data clusters via the Gap statistic. Journal of the Royal Statistical Society B, 63, 411–423.
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