Ngā hua rapu - Vanathi Gopalakrishnan
- E whakaatu ana i te 1 - 6 hua o te 6
-
1
-
2
A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks mā Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Cecilia Lo, Vanathi Gopalakrishnan, Ashok Panigrahy
I whakaputaina 2018Artigo -
3
A Multiplexed Serum Biomarker Immunoassay Panel Discriminates Clinical Lung Cancer Patients from High-Risk Individuals Found to be Cancer-Free by CT Screening mā William L. Bigbee, Vanathi Gopalakrishnan, Joel L. Weissfeld, David O. Wilson, Sanja Đačić, Anna Lokshin, Jill M. Siegfried
I whakaputaina 2012Artigo -
4
-
5
Proteomic profiling of cerebrospinal fluid identifies biomarkers for amyotrophic lateral sclerosis mā Srikanth Ranganathan, Eric O. Williams, Philip Ganchev, Vanathi Gopalakrishnan, David Lacomis, Leo Urbinelli, Kristyn Newhall, Merit Cudkowicz, Robert H. Brown, Robert Bowser
I whakaputaina 2005Artigo -
6
A Metaproteomic Approach to Study Human-Microbial Ecosystems at the Mucosal Luminal Interface mā Xiaoxiao Li, James F. LeBlanc, Allison Truong, Ravi Vuthoori, Sharon S. Chen, Jonathan L. Lustgarten, Bennett E. Roth, Jeff Allard, Andrew Ippoliti, Laura L. Presley, James Borneman, William L. Bigbee, Vanathi Gopalakrishnan, Thomas G. Graeber, David Elashoff, Jonathan Braun, Lee Goodglick
I whakaputaina 2011Artigo
Ngā utauta rapu:
Ngā marau whai pānga
Medicine
Biochemistry
Biomarker
Chemistry
Gene
Immunology
Internal medicine
Pathology
Proteomics
Amyotrophic lateral sclerosis
Artificial intelligence
Biology
Cerebrospinal fluid
Computer science
Cystatin C
Disease
Renal function
Transthyretin
Antibody
Artificial neural network
Bayes' theorem
Bayesian probability
Bioinformatics
Brain morphometry
Cancer
Chromatography
Classifier (UML)
Computational biology
Convolutional neural network
Data mining