プロフィール詳細

プロジェクトを作成

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Dr. Muthulakshmi M.に依頼

India

Expert in R, statistical and genomic data analysis

プロフィール概要

With over 7 years of dedicated experience in the field of genomics, I specialize in Computational Biology and Genomics, excelling in several key areas: i) Conducting statistical analysis of genomic data. ii) Proficiency in Whole Exome Sequencing analysis, utilizing GATK best practices for variant identification and annotation. iii) Utilizing WGCNA tools for network biology analysis. iv) Performing Gene Set Enrichment Analysis (BP, MF, and Pathways). v) Conducting Survival Analysis including KM plots, ROC plots, etc. vi) Proficient in Differential Gene Expression analysis. vii) Skilled in providing scientific illustrations to visually represent the complex genomic concepts. My research is dedicated to deriving significant insights from genomic data, contributing valuable findings to the field.

専門分野

• ★ Computational Biology
• ★ Genomics
• ★ Cancer Research
• ☆ Data Collection
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Knowledge Management
• ☆ Information Retrieval
• ☆ Data Storage

サービス

• Research
• Consulting
• Data & AI

Research Scientific and Technical Research, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Research scholar

Madurai Kamaraj University

9月 2010 - 8月 2017

学歴

Ph.D

Biology, Specialization Genomics

1月 2011 - 1月 2017

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2016). Juxtaposed genes in 7q21-22 amplicon contribute for two major gastric cancer sub-Types by mutual exclusive expression . Molecular carcinogenesis.

(2016). Molecular Portrait of Oral Tongue Squamous Cell Carcinoma Shown by Integrative Meta-Analysis of Expression Profiles with Validations . PloS one.

(2015). Upregulated, 7q21-22 amplicon candidate gene SHFM1 confers oncogenic advantage by suppressing p53 function in gastric cancer . Cellular signalling.

(2014). Stratification and delineation of gastric cancer signaling by in vitro transcription factor activity profiling and integrative genomics . Cellular signalling.

(2013). Breast tumors with elevated expression of 1q candidate genes confer poor clinical outcome and sensitivity to Ras/PI3K inhibition . PloS one.