# Performing Uni-variate Analysis on Cancer Gene Mutation Data Using SGD Optimized Logistic Regression

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/performing-uni-variate-analysis-on-cancer-gene-mutation-data-using-sgd-optimized/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ashok Reddy Kandula,R Sathya,S. Narayana |
| Citations | 4 |
| DOI | 10.14445/22315381/ijett-v69i2p209 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3150910506 |
| Type | article |
| Year | 2021 |

## Paper authors

- [S. Narayana](https://scholariq.org/researchers/s-narayana/)

## Paper primary topic

- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)

## Paper topics

- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.