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A Tom

Showing results (81-90 of 111) with videos related to

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Cancers|November 13, 2025
Subtype Characterization of Ovarian Cancer Cell Lines Using Machine Learning and Network Analysis: A Pilot StudyRama Krishna Thelagathoti, Dinesh S Chandel, Chao Jiang, et al.
Physiology & Behavior|September 18, 2013
Voluntary timing of food intake increases weight gain and reduces basal plasma cortisol levels in common carp (Cyprinus carpio L.)Peter H M Klaren, Stephanie C M van Dalen, Wim Atsma, et al.
Anatomy Research International|April 12, 2014
Anatomical considerations of the suprascapular nerve in rotator cuff repairsJames A Tom, Addisu Mesfin, Mitesh P Shah, et al.
BMC Bioinformatics|July 26, 2017
Identifying and mitigating batch effects in whole genome sequencing dataJennifer A Tom, Jens Reeder, William F Forrest, et al.
European Journal of Pharmacology|July 14, 1995
Characterization of two novel sigma receptor ligands: antidystonic effects in rats suggest sigma receptor antagonismR R Matsumoto, W D Bowen, M A Tom, et al.
Biorxiv : the Preprint Server for Biology|September 25, 2023
Reentrant DNA shells tune polyphosphate condensate sizeRavi Chawla, Jenna K A Tom, Tumara Boyd, et al.
Neuroscience Letters|July 22, 2004
An experimental knee joint effusion does not affect plasma catecholamine concentration in humansRiann M Palmieri, Arthur Weltman, James A Tom, et al.
Bioengineering (Basel, Switzerland)|June 26, 2026
Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix FactorizationRama Krishna Thelagathoti, Chao Jiang, Dinesh S Chandel, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|February 3, 2005
Pre-synaptic modulation of quadriceps arthrogenic muscle inhibitionRiann M Palmieri, Arthur Weltman, Jeffrey E Edwards, et al.
Computer Methods and Programs in Biomedicine|February 5, 2026
Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learningRama Krishna Thelagathoti, Chao Jiang, Dinesh S Chandel, et al.
Pageof 12

Showing results (81-90 of 111) with videos related to

Sort By:
Pageof 12
Cancers|November 13, 2025
Subtype Characterization of Ovarian Cancer Cell Lines Using Machine Learning and Network Analysis: A Pilot StudyRama Krishna Thelagathoti, Dinesh S Chandel, Chao Jiang, et al.
Physiology & Behavior|September 18, 2013
Voluntary timing of food intake increases weight gain and reduces basal plasma cortisol levels in common carp (Cyprinus carpio L.)Peter H M Klaren, Stephanie C M van Dalen, Wim Atsma, et al.
Anatomy Research International|April 12, 2014
Anatomical considerations of the suprascapular nerve in rotator cuff repairsJames A Tom, Addisu Mesfin, Mitesh P Shah, et al.
BMC Bioinformatics|July 26, 2017
Identifying and mitigating batch effects in whole genome sequencing dataJennifer A Tom, Jens Reeder, William F Forrest, et al.
European Journal of Pharmacology|July 14, 1995
Characterization of two novel sigma receptor ligands: antidystonic effects in rats suggest sigma receptor antagonismR R Matsumoto, W D Bowen, M A Tom, et al.
Biorxiv : the Preprint Server for Biology|September 25, 2023
Reentrant DNA shells tune polyphosphate condensate sizeRavi Chawla, Jenna K A Tom, Tumara Boyd, et al.
Neuroscience Letters|July 22, 2004
An experimental knee joint effusion does not affect plasma catecholamine concentration in humansRiann M Palmieri, Arthur Weltman, James A Tom, et al.
Bioengineering (Basel, Switzerland)|June 26, 2026
Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix FactorizationRama Krishna Thelagathoti, Chao Jiang, Dinesh S Chandel, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|February 3, 2005
Pre-synaptic modulation of quadriceps arthrogenic muscle inhibitionRiann M Palmieri, Arthur Weltman, Jeffrey E Edwards, et al.
Computer Methods and Programs in Biomedicine|February 5, 2026
Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learningRama Krishna Thelagathoti, Chao Jiang, Dinesh S Chandel, et al.
Pageof 12