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Aridaman Pandit

Showing results (11-20 of 60) with videos related to

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Frontiers in Immunology|October 24, 2024
Parameter optimization for stable clustering using FlowSOM: a case study from CyTOFWeiyang Tao, Anirban Sinha, Khadir Raddassi, et al.
Nature Immunology|January 20, 2017
Is sex bias orchestrated in the skin?Aridaman Pandit, Linde Meyaard, Timothy R D J Radstake
Arthritis & Rheumatology (Hoboken, N.J.)|March 8, 2021
ReplyWeiyang Tao, Timothy R D J Radstake, Aridaman Pandit
Communications Biology|January 12, 2022
RegEnrich gene regulator enrichment analysis reveals a key role of the ETS transcription factor family in interferon signalingWeiyang Tao, Timothy R D J Radstake, Aridaman Pandit
Frontiers in Immunology|June 10, 2021
Integration of <i>Immunome</i> With Disease-Gene Network Reveals Common Cellular Mechanisms Between IMIDs and Drug Repurposing StrategiesAbhinandan Devaprasad, Timothy R D J Radstake, Aridaman Pandit
Arthritis & Rheumatology (Hoboken, N.J.)|April 3, 2019
Using Machine Learning to Molecularly Classify Systemic Sclerosis PatientsWeiyang Tao, Timothy R D J Radstake, Aridaman Pandit
Bioinformatics (Oxford, England)|June 22, 2016
RTCR: a pipeline for complete and accurate recovery of T cell repertoires from high throughput sequencing dataBram Gerritsen, Aridaman Pandit, Arno C Andeweg, et al.
Frontiers in Immunology|July 25, 2022
Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning ApproachJingwen Deng, Carlotta Schieler, José A M Borghans, et al.
European Journal of Immunology|June 6, 2020
CXCL4 suppresses tolerogenic immune signature of monocyte-derived dendritic cellsSandra C Silva-Cardoso, Weiyang Tao, Beatriz Malvar Fernández, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|September 10, 2020
Multiomics and Machine Learning Accurately Predict Clinical Response to Adalimumab and Etanercept Therapy in Patients With Rheumatoid ArthritisWeiyang Tao, Arno N Concepcion, Marieke Vianen, et al.
Pageof 6

Showing results (11-20 of 60) with videos related to

Sort By:
Pageof 6
Frontiers in Immunology|October 24, 2024
Parameter optimization for stable clustering using FlowSOM: a case study from CyTOFWeiyang Tao, Anirban Sinha, Khadir Raddassi, et al.
Nature Immunology|January 20, 2017
Is sex bias orchestrated in the skin?Aridaman Pandit, Linde Meyaard, Timothy R D J Radstake
Arthritis & Rheumatology (Hoboken, N.J.)|March 8, 2021
ReplyWeiyang Tao, Timothy R D J Radstake, Aridaman Pandit
Communications Biology|January 12, 2022
RegEnrich gene regulator enrichment analysis reveals a key role of the ETS transcription factor family in interferon signalingWeiyang Tao, Timothy R D J Radstake, Aridaman Pandit
Frontiers in Immunology|June 10, 2021
Integration of <i>Immunome</i> With Disease-Gene Network Reveals Common Cellular Mechanisms Between IMIDs and Drug Repurposing StrategiesAbhinandan Devaprasad, Timothy R D J Radstake, Aridaman Pandit
Arthritis & Rheumatology (Hoboken, N.J.)|April 3, 2019
Using Machine Learning to Molecularly Classify Systemic Sclerosis PatientsWeiyang Tao, Timothy R D J Radstake, Aridaman Pandit
Bioinformatics (Oxford, England)|June 22, 2016
RTCR: a pipeline for complete and accurate recovery of T cell repertoires from high throughput sequencing dataBram Gerritsen, Aridaman Pandit, Arno C Andeweg, et al.
Frontiers in Immunology|July 25, 2022
Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning ApproachJingwen Deng, Carlotta Schieler, José A M Borghans, et al.
European Journal of Immunology|June 6, 2020
CXCL4 suppresses tolerogenic immune signature of monocyte-derived dendritic cellsSandra C Silva-Cardoso, Weiyang Tao, Beatriz Malvar Fernández, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|September 10, 2020
Multiomics and Machine Learning Accurately Predict Clinical Response to Adalimumab and Etanercept Therapy in Patients With Rheumatoid ArthritisWeiyang Tao, Arno N Concepcion, Marieke Vianen, et al.
Pageof 6