Sudhir Kumar
Orcid: 0000-0002-9918-8212Affiliations:
- Arizona State University, Tempe, AZ, USA
- King Abdulaziz University, Jeddah, Saudi Arabia
According to our database1,
Sudhir Kumar
authored at least 42 papers
between 1994 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Bootstrap confidence for molecular evolutionary estimates from tumor bulk sequencing data.
Frontiers Bioinform., May, 2023
Frontiers Bioinform., May, 2023
Bioinform., January, 2023
2022
Dynamic coupling of residues within proteins as a mechanistic foundation of many enigmatic pathogenic missense variants.
PLoS Comput. Biol., 2022
TopHap: rapid inference of key phylogenetic structures from common haplotypes in large genome collections with limited diversity.
Bioinform., 2022
2021
Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps.
Nat. Comput. Sci., 2021
Data-driven speciation tree prior for better species divergence times in calibration-poor molecular phylogenies.
Bioinform., 2021
2020
IEEE Trans. Big Data, 2020
PLoS Comput. Biol., 2020
Bioinform., 2020
2018
Bioinform., 2018
Bioinform., 2018
2014
Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.
Bioinform., 2014
MEGA-MD: molecular evolutionary genetics analysis software with mutational diagnosis of amino acid variation.
Bioinform., 2014
myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in <i>Drosophila</i> embryos.
Bioinform., 2014
2013
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis.
BMC Bioinform., 2013
Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform., 2013
2012
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinform., 2012
MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis.
Bioinform., 2012
Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone.
Bioinform., 2012
Performance of computational tools in evaluating the functional impact of laboratory-induced amino acid mutations.
Bioinform., 2012
2011
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in <i>Drosophila</i> embryogenesis.
Bioinform., 2011
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
BMC Bioinform., 2009
Relationship between gene co-expression and sharing of transcription factor binding sites in <i>Drosophila melanogaster</i>.
Bioinform., 2009
Drosophila gene expression pattern annotation using sparse features and term-term interactions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Proceedings of the IJCAI 2009, 2009
2008
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.
ACM Trans. Knowl. Discov. Data, 2008
Automated annotation of <i>Drosophila</i> gene expression patterns using a controlled vocabulary.
Bioinform., 2008
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences.
Briefings Bioinform., 2008
2007
BMC Bioinform., 2007
2006
Bioinform., 2006
2004
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant moment digital representations.
BMC Bioinform., 2004
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment.
Briefings Bioinform., 2004
2001
2000
Single column discrepancy and dynamic max-mini optimizations for quickly finding the most parsimonious evolutionary trees.
Bioinform., 2000
1994
Comput. Appl. Biosci., 1994