24 | 부은경 | Permutation tests using sample dataset of PPMI | TopicSem |
04 | 최선 | Linking genotype to phenotype in multiomics data of small sample | J.Club |
03 | 유준기 | ssGSEA: single sample Gene Set Enrichment Analysis | MAInfo |
19 | 전예진 | the use of two sample methods for MR on single large datasets | SysBiol |
03 | 배소정 | Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies | MAInfo |
21 | ӿ | Analysis of validation samples of Post-ERCP pancreatitis | TopicSem | |
23 | 조원일 | Pharmacogenetic genotype and phenotype frequencies in a large Danish population-based case-cohort sample | J.Club |
23 | ӿ | Analysis of validation samples of Post-ERCP pancreatitis | TopicSem |
05 | 김지헌 | SWEDEGENE—a Swedish nation-wide DNA sample collection for pharmacogenomic studies of serious adverse drug reactions | J.Club |
10 | ̿ | NGS CheckMate : Validating sample identity in NGS studies | xMutant |
11 | ӿ | Variant Analysis with Pancreatic cancer FNA sample | MAInfo |
18 | 홍진희 | illumina sequencing WES 111 samples | SysBiol |
11 | 유승원 | Inverse similarity and reliable negative samples for drug side-effect prediction | J.Club |
26 | 유승원 | Mercaptopurine adverse effect research : sample expansion, multi-gene effect issues | TopicSem |
30 | 부은경 | Discovering personalized driver mutation profiles of single samples in cancer by network control strategy | J.Club |
08 | ӿ | Tacrolimus sample sequencing summary | TopicSem | |
11 | WES Analysis using multiple samples with side effects of L-asparaginase | TopicSem |
11 | 권호식 | Clinical data of HD-MTX ALL samples and the progress | TopicSem | |
20 | 국수경 | Whole-exome sequencing and clinical interpretation of FFPE tumor samples to guide precision cancer medicine | J.Club |
22 | WES analysis of AML samples according to neutropenia duration | xMutant |
20 | WES analysis of AML samples according to neutropenia duration | xMutant |
11 | 한봄 | Tumor-only analysis on rare cancer samples | TopicSem | |
12 | WES analysis of AML samples according to neutropenia duration | xMutant |
15 | 한봄 | Tumor-only analysis on rare cancer samples | SysBiol | |
17 | 한봄 | Evaluating somatic tumor mutation detection without matched normal samples | J.Club |
06 | ȣ | CPTAC and TCGA Breast Cancer samples, data | MAInfo |
23 | Data integration patient sample information with medical record | xMutant |
18 | Analysis of samples according to the number of SDCS pairs | TopicSem |
14 | The analysis of continuous variables in ALL samples. | xMutant | ||
14 | Calculating ERK score of THCA samples | MAInfo | ||
28 | Preliminary miRNA analysis on THCA samples | TopicSem |
15 | ̿ | Result : CNV Detection Algorithm for Cancer Samples | xMutant |
08 | Translating phenotype into a functional gene-level score using Corriell samples Pharmacogenomic genotypes | xMutant |
07 | Depression WXS QC - 10 samples of FASTQ from Illumina HiSeq 2500 | TopicSem |
03 | Motif analysis of RNA-binding proteins in papillary thyroid carcinoma samples | TopicSem | ||
24 | Manually calculating pentamer motif enrichment in RAS-mutated samples | MAInfo |
03 | ̿ | Brief statistics of Cancer Panel data of HY samples | MAInfo |
30 | ̰ȭ | Using SRA toolkit for downloading the exome seq data of 16 BRONJ samples | MAInfo |
27 | κ | Customized Cancer Panel based on two sample types | TopicSem |
07 | ̼S | How common are drug and gene interactions? Prevalence in a sample of 1143 patients with CYP2C9, CYP2C19 and CYP2D6 genotyping | J.Club |
01 | Characteristics of genes with rare and deleterious mutations in 1KP samples | TopicSem | ||
22 | κ | Targeted sequencing for 149 DNA samples by using PBAC6 panel | TopicSem |
15 | An empirical estimate of carrier frequencies for 400+ causal Mendelian variants: results from an ethnically diverse clinical sample of 23,453 individuals | J.Club |
19 | μ | Mapping results of single ingredient drugs(100 sample) with UMLS(RxNorm) | TopicSem |
07 | μ | Sample of prescription encoding | TopicSem |
11 | ӿ | DNA co-methylation analysis suggests novel functional associations between gene pairs in breast cancer samples | J.Club |
05 | ̰ȭ | AML M2 paired sample analysis plan | TopicSem |
25 | ̼S | Comparison of RNA-editing sites from RNA-seq samples | MAInfo |
20 | A DNA methylation fingerprint of 1,628 human samples | J.Club | ||
31 | ODM transformer with SAMPLESTRA | BioEMR |
11 | 赵 | How to measure inter-relationship between sample features belonging to different layers of genomic data? | TopicSem |
21 | 赵 | Plan for integration with inter-relationship between sample features belonging to different layers of genomic data | TopicSem |
16 | ̼ | High-Throughput SuperSAGE for Digital Gene Expression Analysis of Multiple Samples Using Next Generation Sequencing | J.Club |
01 | How to use GEO data (2)( classify normal and disease in sample description ) | Seminar |
30 | Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues | J.Club |
28 | α | Imporving DEG identification in small sample datasets using GEO data | Seminar |
03 | α | Sample selection in RiPeter | J.Club | |
13 | α | Reproducibility in sample selection [RiPeter] | Seminar |
26 | α | RiPeter scenario sample selection | Seminar |
22 | GEO Final or Not? [GEO, Integration, Microarray repository, Arrayport, Mapping, Platform, Series, Sample] | Seminar |
13 | α | Larger weight on rare samples | Seminar | |
25 | ¼ | Tumor and normal samples in Universal Sample Space | Seminar |
29 | GEO Progress (Meta table for Sample features) and Future [Meta Table, GEO, UMLS] | Seminar |
09 | ¼ | Discovering differential co-expression patterns between normal and tumor samples [DiffCoexpression] | MAInfo |
18 | Approach of Clustering columns in GEO data table : Platform [technology type, data column, platform, sample, GEO] | SysBiol |
28 | ¼ | Differential co-expression patterns between normal and tumor samples [DiffCoexpression] | MAInfo |
08 | ¼ | Order-preserving patterns in normal and tumor samples [DiffCoexpression] | MAInfo |
11 | ¼ | Order-preserving patterns in normal and tumor samples [DiffCoexpression] | MAInfo | |
25 | ¼ | Order-preserving patterns in normal and tumor samples [DiffCoexpression] | MAInfo |
13 | Use of extreme patient samples for outcome prediction from gene expression data | J.Club |
12 | () | Sample Document RDB NXD | BioEMR | |
21 | RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples | J.Club |
14 | GEO Platform Description header Sample Description header м | SysBiol |