Qualitative classification of the breast cancer genome and clustering of the cancer gene network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
Egile Nagusiak: | Fatema, Kaniz, Shabnam, Shejuti, Saha, Akash |
---|---|
Beste egile batzuk: | Ajwad, Rasif |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
BRAC University
2019
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/12266 |
Antzeko izenburuak
-
Identifying the best metrics to find the best quality clusters of genes from gene expression data
nork: Choudhury, Joydhriti, et al.
Argitaratua: (2019) - The economics of clusters
-
Anomaly clustering based on correspondence analysis
nork: Islam, Humayra
Argitaratua: (2018) -
Extractive text summarization using Fuzzy-c-means clustering
nork: Gani, Shafiul
Argitaratua: (2019) -
Pathway analysis of Disease-Gene associated network in the human breast cancer
nork: Lamia
Argitaratua: (2020)