#webadvjs#>
伊人直播
Discussion References
Time: Tuesday 6:30 - 8:30 (10-12)
Room:
四教307
6月6日下午5点前将论文及以下表格(填写你们能够填写的部分)发给我
毕业论文审查表
毕业论文评阅表
Reading papers and books
SNP-related
MuSiC: Identifying mutational significance in cancer genomes
A Landscape of Driver Mutations in Melanoma (InVEx algorithm)
Mutational heterogeneity in cancer and the search for new cancer-associated genes (MutSigCV)
Discovery and prioritization of somatic mutations in diffuse large B-cell lymphoma (DLBCL) by whole-exome sequencing
CanPredict: a computational tool for predicting cancer-associated missense mutations
Distinguishing Cancer-Associated Missense Mutations from Common Polymorphisms
PANTHER: a library of protein families and subfamilies indexed by function
Human genomic disease variants: A neutral evolutionary explanation
A general framework for estimating the relative pathogenicity of human genetic variants
Copy number related
GISTIC
GISTIC 2.0
A scale-space method for detecting recurrent DNA copy number changes with analytical false discovery rate control
STAC: A method for testing the significance of DNA copy number aberrations across multiple array-CGH experiments
CGARS: cancer genome analysis by rank sums
A genomic random interval model for statistical analysis of genomic lesion data
Detection of candidate tumor driver genes using a fully integrated Bayesian approach
Integrative approach
An Integrated Approach to Uncover Drivers of Cancer
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
Efficient methods for identifying mutated driver pathways in cancer
ResponseNet: revealing signaling and regulatory networks linking genetic and transcriptomic screening data
Empirical process
Reference book1
Referecne book2