DSpace Collection: 192.168.6.56/handle/123456789/30 2026-04-17T21:16:45Z 2026-04-17T21:16:45Z Medical lab-Public health micro for year-III MLS students 192.168.6.56/handle/123456789/90275 2020-08-21T10:28:16Z 2020-08-01T00:00:00Z Title: Medical lab-Public health micro for year-III MLS students Editors: Reulen, H.J Description: This book, written by experienced neurosurgeons, offers all those concerned with neurosurgical training - trainers and trainees - practical advice to implement the above mentioned standards and recommendations. It has been written as a manual: "How to do it”. It describes the tasks of a chairman (programme director), the tasks of the teaching staff, the organisation of a training curriculum, a rotation plan or a morbidity and mortality conference, the periodic progress evaluation, the course of an external audit and many more important topics. It contains a lot of practical tips, check lists and useful examples. Well educated young colleagues offer "safe neurosurgery” to our patients. 2020-08-01T00:00:00Z Medical Virology Lecture Note For Medical Laboratory Sciences students (Year-III) Belay Tafa 192.168.6.56/handle/123456789/90274 2020-08-19T07:11:25Z 2020-08-01T00:00:00Z Title: Medical Virology Lecture Note For Medical Laboratory Sciences students (Year-III) Authors: Belay Tafa 2020-08-01T00:00:00Z Immunology Lecture note for Degree program Medical laboratory sciences tudents (Year-II, Second Semester) Belay T. Regassa 192.168.6.56/handle/123456789/90272 2020-08-19T07:06:31Z 2020-08-01T00:00:00Z Title: Immunology Lecture note for Degree program Medical laboratory sciences tudents (Year-II, Second Semester) Authors: Belay T. Regassa 2020-08-01T00:00:00Z Microarray Gene Expression Data Analysis Helen, C.causton John, Quackenbush Alvis, Brazma 192.168.6.56/handle/123456789/88804 2020-07-21T11:45:51Z 2003-01-01T00:00:00Z Title: Microarray Gene Expression Data Analysis Authors: Helen, C.causton; John, Quackenbush; Alvis, Brazma Description: This Book describes the types of studies that can be conducted with microarray experiments (class comparison, class prediction, class discovery). We discuss key issues pertaining to experimental design, data preprocessing, and gene selection methods. Common types of data representation are illustrated. Potential pitfalls in the interpretation of microarray experiments, as well as the strengths and limitations of this technology, are highlighted. This Book is intended to assist clinicians in appraising the quality of the scientific evidence now reported in the obstetric and gynecologic literature. 2003-01-01T00:00:00Z