Naftali Kaminski - researchr alias

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Viewing Publication 1 - 18 from 18

2023

A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracyWenxuan Deng, Bolun Li, Jiawei Wang, Wei Jiang 0019, Xiting Yan, Ningshan Li, Milica Vukmirovic, Naftali Kaminski, Jing Wang, Hongyu Zhao. bib, 24(1), January 2023. [doi]

Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjectsYunqing Liu, Jiayi Zhao, Taylor Sterling Adams, Ningya Wang, Jonas Schupp, Weimiao Wu, John E. McDonough, Geoffrey Lowell Chupp, Naftali Kaminski, Zuoheng Wang, Xiting Yan. bmcbi, 24(1):394, December 2023. [doi]

iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjectsYunqing Liu, Jiayi Zhao, Taylor Sterling Adams, Ningya Wang, Jonas Schupp, Weimiao Wu, John E. McDonough, Geoffrey Lowell Chupp, Naftali Kaminski, Zuoheng Wang, Xiting Yan. bmcbi, 24(1):318, December 2023. [doi]

Comprehensive visualization of cell-cell interactions in single-cell and spatial transcriptomics with NICHESMicha Sam Brickman Raredon, Junchen Yang, Neeharika Kothapalli, Wesley Lewis, Naftali Kaminski, Laura E. Niklason, Yuval Kluger. bioinformatics, 39(1), January 2023. [doi]

2022

CINS: Cell Interaction Network inference from Single cell expression dataYe Yuan, Carlos Cosme, Taylor Sterling Adams, Jonas Schupp, Koji Sakamoto, Nikos Xylourgidis, Matthew Ruffalo, Jiachen Li, Naftali Kaminski, Ziv Bar-Joseph. ploscb, 18(9):1010468, September 2022. [doi]

2021

A Markov random field model for network-based differential expression analysis of single-cell RNA-seq dataHongYu Li, Biqing Zhu, Zhichao Xu, Taylor Adams, Naftali Kaminski, Hongyu Zhao. bmcbi, 22(3):524, 2021. [doi]

2018

iDREM: Interactive visualization of dynamic regulatory networksJun Ding, James S. Hagood, Namasivayam Ambalavanan, Naftali Kaminski, Ziv Bar-Joseph. ploscb, 14(3), 2018. [doi]

2015

T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical OutcomesGrace T. Huang, Ioannis Tsamardinos, Vineet Raghu, Naftali Kaminski, Panayiotis V. Benos. psb 2015: 431-442 [doi]

2014

2012

2010

Module-based prediction approach for robust inter-study predictions in microarray dataZhibao Mi, Kui Shen, Nan Song, Chunrong Cheng, Chi Song, Naftali Kaminski, George C. Tseng. bioinformatics, 26(20):2586-2593, 2010. [doi]

2008

Alignment and classification of time series gene expression in clinical studiesTien-ho Lin, Naftali Kaminski, Ziv Bar-Joseph. ismb 2008: 147-155 [doi]

2007

A Patient-Gene Model for Temporal Expression Profiles in Clinical StudiesNaftali Kaminski, Ziv Bar-Joseph. jcb, 14(3):324-338, 2007. [doi]

2006

A Patient-Gene Model for Temporal Expression Profiles in Clinical StudiesNaftali Kaminski, Ziv Bar-Joseph. recomb 2006: 69-82 [doi]

2005

Comparison of normalization methods for CodeLink Bioarray dataWei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski. bmcbi, 6:309, 2005. [doi]

2004

Comparative analysis of algorithms for signal quantitation from oligonucleotide microarraysYoseph Barash, Elinor Dehan, Meir Krupsky, Wilbur Franklin, Marc Geraci, Nir Friedman, Naftali Kaminski. bioinformatics, 20(6):839-846, 2004. [doi]

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