dc.contributor.author |
Lamba, Monika |
|
dc.contributor.author |
Munjal, Geetika |
|
dc.contributor.author |
Gigras, Yogita |
|
dc.date.accessioned |
2023-07-17T03:14:17Z |
|
dc.date.available |
2023-07-17T03:14:17Z |
|
dc.date.issued |
2023-07-17 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/5004 |
|
dc.description.abstract |
The mining of a subset of informative genes from microarray gene expression data is a
significant data preparation task in the classification of breast cancer. Out of all the algorithms
developed, CFS-BFS and CONSISTENCY-BFS are the two best ones for gene selection. For
reliable prognostication of breast cancer subtypes, a ground-breaking 2-Stage Gene Selection
algorithm has been developed. Using CFS-BFS in the first stage and CONSISTENCY-BFS in
the second, the majority of the distracting, inappropriate, and redundant genes are removed. To
improve algorithm efficacy, the 2-Stage GeS strategy gets around the uncertainty problem with
CFS-BFS. Surprisingly, using Hidden Weight Naive Bayes to establish the 2-Stage GeS, more
accurate and reliable results are obtained. The standings of recall, precision, f-score, and fallout
show encouraging results. The top four genes E2F3, PSMC3IP, GINS1 and PLAGL2 were
further verified by applying Kaplan-Meier Survival Model. E2F3 and GINS1 are likely targets
for precision therapy |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.subject |
CFS-BFS |
en_US |
dc.subject |
Consistency-BFS |
en_US |
dc.subject |
gene selection |
en_US |
dc.subject |
micro-array gene expression dataset |
en_US |
dc.subject |
breast cancer |
en_US |
dc.subject |
Kaplan Meier Survival |
en_US |
dc.title |
Two-Stage Gene Selection Tactic For Identifying Significant Prognosis Biomarkers In Breast Cancer |
en_US |
dc.identifier.doi |
https://dx.doi.org/10.12785/ijcds/XXXXXX |
|
dc.volume |
14 |
en_US |
dc.issue |
1 |
en_US |
dc.pagestart |
1 |
en_US |
dc.pageend |
xx |
en_US |
dc.contributor.authorcountry |
India |
en_US |
dc.contributor.authoraffiliation |
The NorthCap University |
en_US |
dc.contributor.authoraffiliation |
Amity University |
en_US |
dc.source.title |
International Journal of Computing and Digital Systems |
en_US |
dc.abbreviatedsourcetitle |
IJCDS |
en_US |