日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R

pyRforest:一个用于基因组数据分析的综合性 R 包,集成了 scikit-learn 随机森林算法。

Kolisnik, Tyler; Keshavarz-Rahaghi, Faeze; Purcell, Rachel V; Smith, Adam N H; Silander, Olin K

Identifying important microbial and genomic biomarkers for differentiating right- versus left-sided colorectal cancer using random forest models

利用随机森林模型识别区分右侧和左侧结直肠癌的重要微生物和基因组生物标志物

Kolisnik, Tyler; Sulit, Arielle Kae; Schmeier, Sebastian; Frizelle, Frank; Purcell, Rachel; Smith, Adam; Silander, Olin

MetaFunc: taxonomic and functional analyses of high throughput sequencing for microbiomes

MetaFunc:用于微生物组高通量测序的分类学和功能分析

Sulit, Arielle Kae; Kolisnik, Tyler; Frizelle, Frank Antony; Purcell, Rachel; Schmeier, Sebastian

A p53 transcriptional signature in primary and metastatic cancers derived using machine learning

利用机器学习方法获得的原发性和转移性癌症中的p53转录特征

Keshavarz-Rahaghi, Faeze; Pleasance, Erin; Kolisnik, Tyler; Jones, Steven J M

The Diverse Genomic Landscape of Clinically Low-risk Prostate Cancer

临床低风险前列腺癌的多样化基因组图谱

Cooperberg, Matthew R; Erho, Nicholas; Chan, June M; Feng, Felix Y; Fishbane, Nick; Zhao, Shuang G; Simko, Jeffry P; Cowan, Janet E; Lehrer, Jonathan; Alshalalfa, Mohammed; Kolisnik, Tyler; Chelliserry, Jijumon; Margrave, Jennifer; Aranes, Maria; Plessis, Marguerite du; Buerki, Christine; Tenggara, Imelda; Davicioni, Elai; Carroll, Peter R

Utilization of biopsy-based genomic classifier to predict distant metastasis after definitive radiation and short-course ADT for intermediate and high-risk prostate cancer

利用基于活检的基因组分类器预测中高危前列腺癌患者接受根治性放疗和短期雄激素剥夺疗法后的远处转移

Nguyen, P L; Martin, N E; Choeurng, V; Palmer-Aronsten, B; Kolisnik, T; Beard, C J; Orio, P F; Nezolosky, M D; Chen, Y-W; Shin, H; Davicioni, E; Feng, F Y

Low PCA3 expression is a marker of poor differentiation in localized prostate tumors: exploratory analysis from 12,076 patients

PCA3低表达是局限性前列腺肿瘤分化不良的标志:一项来自12076例患者的探索性分析

Alshalalfa, Mohammed; Verhaegh, Gerald W; Gibb, Ewan A; Santiago-Jiménez, Maria; Erho, Nicholas; Jordan, Jennifer; Yousefi, Kasra; Lam, Lucia L C; Kolisnik, Tyler; Chelissery, Jijumon; Seiler, Roland; Ross, Ashley E; Karnes, R Jeffrey; Schaeffer, Edward M; Lotan, Tamara T; Den, Robert B; Freedland, Stephen J; Davicioni, Elai; Klein, Eric A; Schalken, Jack A

Reusable, extensible, and modifiable R scripts and Kepler workflows for comprehensive single set ChIP-seq analysis

用于全面单组 ChIP-seq 分析的可重用、可扩展和可修改的 R 脚本和 Kepler 工作流程

Cormier, Nathan; Kolisnik, Tyler; Bieda, Mark