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Monday, November 16, 2015

Identifying the Drug Targets in Metabolic Syndrome using Network Biology #ijsrd


Paper Title : Identifying the Drug Targets in Metabolic Syndrome using Network Biology

Author(s): Smriti Dwivedi , School of Life Sciences, SIILAS Campus, Jaipur National University, Jaipur-203017; Nancy Khosla, School of Life Sciences, SIILAS Campus, Jaipur National University, Jaipur-203017; Jaisri Jagannathan, School of Life Sciences, SIILAS Campus, Jaipur National University, Jaipur-203017

Keywords: Metabolic Syndrome, Expression Atlas, Cytoscape, Reactome FI

Abstract : The metabolic syndrome is a multiplex risk factor that consists of several risk factors such as heart diseases, hypertension, diabetes mellitus, cardiovascular diseases and so on. The prevalence of metabolic syndrome increases with age and varies with gender and ethnicity. Here, in this study we worked on three conditions that are associated with metabolic syndrome which includes Diabetes mellitus, Cardiovascular & Hypertension disease. To understand the diseases and its regulation, the primary role is to screen the genes involved in a particular condition. The differentially expressed genes including up regulation and down regulation are screened and extracted from Expression atlas, Cytoscape and Reactome FI database. The regulation of these extracted genes in a disease condition is analyzed and the disease network is generated. These disease networks may pave the way in understanding the pathophysiology of the diseases, for identifying biomarkers and in hubs analysis which may act as a potential drug targets in drug development industry.

Monday, November 9, 2015

#ijsrd #sal NATIONAL CONFERENCE ON ICT Transforming ICT to IoT


NATIONAL CONFERENCE ON ICT

Transforming ICT to IoT


In association with


IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.
  1. Pedagogy for effective use of ICT in Engineering Education.
  2. IoT for everyday life.
  3. IoT for smart house.
Chief Patron
Er. Shri Rajendra Shah
Patron
Dr. Rupesh P. Vasani
Ms. Neelima Shah
Ms. Pooja Shah
Convener
Dr. S. G. Desai
 Coordinators
 Technical Committee
Prof. Vijay Gadhavi (SALITER)
Prof. Dushyant Rathod (SCE)
Prof. Mayank Parekh (SCE)
Prof. Tejas Mehta (SETI)
Prof. Nidhi Barot
Prof. Pooja Mehta
Prof. Archana Patel
Prof. Ankita Gandhi

ORGANISED BY

SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website : www.sal.edu.in


PUBLICATION PARTNER

IJSRDInternational Journal  for Scientific Research & Development
Website: ijsrd.com

Saturday, October 10, 2015

International Journal : Call For Paper #ijsrd

https://in.linkedin.com/in/ijsrd

ijsrd.com is a leading indian journal, under which we are encouraging and exploring newer ideas of current trends in Engineering and Science by publishing papers containing pure knowledge. The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas. All research interested scholars are given best opportunity to make world aware of their work. With precise and analytical narration of knowledge by our reviewers, our journal is providing implemental economy and latest global transposition to research. This monthly journal is mainly started to help researching peers belongs to Undergraduate, Postgraduate and Research students.We publish original and high quality papers. We aim to cover the latest outstanding development in the fields of Engineering and Technologies. All the published papers are submitted to the major indexing services for indexing.

Wednesday, September 23, 2015

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology : NCIL 2015 : Publication Partner www.ijsrd.com

NCIL - 2015
National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Organised by ESRC and Dept of Electronics
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015

Monday, September 21, 2015

#IJSRD FOUND USEFUL INFORMATION FOR DATA MINING (WWW.IJSRD.COM)

Nine Laws of Data Mining

Data mining is the creation of new knowledge in natural or artificial form, by using business knowledge to discover and interpret patterns in data.
In its current form, data mining as a field of practise came into existence in the 1990s, aided by the emergence of data mining algorithms packaged within workbenches so as to be suitable for business analysts.  Perhaps because of its origins in practice rather than in theory, relatively little attention has been paid to understanding the nature of the data mining process.  The development of the CRISP-DM(#ijsrd) methodology in the late 1990s was a substantial step towards a standardised description of the process that had already been found successful and was (and is) followed by most practising data miners.
 Although CRISP-DM(#ijsrd) describes how data mining is performed, it does not explain what data mining is or why the process has the properties that it does.  In this paper I propose nine maxims or “laws” of data mining (most of which are well-known to practitioners), together with explanations where known.  This provides the start of a theory to explain (and not merely describe) the data mining process.
 It is not my purpose to criticise CRISP-DM(#ijsrd); many of the concepts introduced by CRISP-DM(#ijsrd) are crucial to the understanding of data mining outlined here, and I also depend on CRISP-DM’s(#ijsrd) common terminology.  This is merely the next step in the process that started with CRISP-DM(#ijsrd).
1st Law of Data Mining – “Business Goals Law”:
Business objectives are the origin of every data mining solution
2nd Law of Data Mining – “Business Knowledge Law”:
Business knowledge is central to every step of the data mining process
3rd Law of Data Mining – “Data Preparation Law”:
Data preparation is more than half of every data mining process
4th Law of Data Mining – “NFL-DM”:
The right model for a given application can only be discovered by experiment or“There is No Free Lunch for the Data Miner”
5th Law of Data Mining – “Watkins’ Law”:
There are always patterns
6th Law of Data Mining – “Insight Law”:
Data mining amplifies perception in the business domain
7th Law of Data Mining – “Prediction Law”: 
Prediction increases information locally by generalization
8th Law of Data Mining – “Value Law”:
The value of data mining results is not determined by the accuracy or stability of predictive models
9th Law of Data Mining – “Law of Change”:
All patterns are subject to change
For more such useful information about data mining and other latest research topics please visit www.ijsrd.com