Name
Affiliation
Papers
MICHAL LINIAL
Univ Calif San Diego, ISCB, La Jolla, CA 92093 USA
60
Collaborators
Citations 
PageRank 
74
1502
149.92
Referers 
Referees 
References 
3854
1169
471
Search Limit
1001000
Title
Citations
PageRank
Year
ProteinBERT: a universal deep-learning model of protein sequence and function20.402022
Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer.00.342020
BIRD: identifying cell doublets via biallelic expression from single cells.00.342020
PWAS - Proteome-Wide Association Study.00.342020
ASAP: a machine learning framework for local protein properties.00.342016
ProFET: Feature engineering captures high-level protein functions.10.352015
Message from the ISCB: ISCB Ebola award for important future research on the computational biology of Ebola virus.00.342015
ISCB Ebola Award for Important Future Research on the Computational Biology of Ebola Virus.00.342015
NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes.50.502014
Speed controls in translating secretory proteins in eukaryotes--an evolutionary perspective.10.452014
Entropy-driven partitioning of the hierarchical protein space.10.362014
The automated function prediction SIG looks back at 2013 and prepares for 2014.30.422014
Translation Efficiency of Synaptic Proteins and Its Coding Sequence Determinants.00.342013
miRror2.0: a platform for assessing the joint action of microRNAs in cell regulation.00.342013
Functional inference by ProtoNet family tree: the uncharacterized proteome of Daphnia pulex.60.362013
ISCB/SPRINGER series in computational biology.00.342013
Susceptibility of the human pathways graphs to fragmentation by small sets of microRNAs.10.352012
Viral proteins acquired from a host converge to simplified domain architectures.10.352012
ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.50.462012
Paving the future: finding suitable ISMB venues.10.432012
Generative probabilistic models for protein-protein interaction networks--the biclique perspective.90.532011
ARISTO: ontological classification of small molecules by electron ionization-mass spectrometry.30.502011
Recovering key biological constituents through sparse representation of gene expression.20.402011
Geometric interpretation of gene expression by sparse reconstruction of transcript profiles00.342011
A predictor for toxin-like proteins exposes cell modulator candidates within viral genomes.10.362010
PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations.60.472010
SPRINT: side-chain prediction inference toolbox for multistate protein design.40.522010
Exposing the co-adaptive potential of protein-protein interfaces through computational sequence design.20.402010
MiRror: a combinatorial analysis web tool for ensembles of microRNAs and their targets.100.542010
UFFizi: a generic platform for ranking informative features.90.352010
ClanTox: a classifier of short animal toxins.50.532009
ISMB 2008 Toronto.00.342008
Bioinformatics Research and Development: Second International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings493.752008
Connect the dots: exposing hidden protein family connections from the entire sequence tree.20.452008
Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.211.192008
When less is more: improving classification of protein families with a minimal set of global features30.402007
EVEREST: a collection of evolutionary conserved protein domains.70.582007
Clustering algorithms optimizer: a framework for large datasets20.382007
Unsupervised feature selection under perturbations: meeting the challenges of biological data.30.382007
The secrets of a functional synapse--from a computational and experimental viewpoint.210.372006
Novel unsupervised feature filtering of biological data.703.842006
EVEREST: automatic identification and classification of protein domains in all protein sequences.330.652006
ProTarget: automatic prediction of protein structure novelty.00.342005
Families of membranous proteins can be characterized by the amino acid composition of their transmembrane domains.20.402005
ProtoNet 4.0: a hierarchical classification of one million protein sequences.271.742005
Predicting fold novelty based on ProtoNet hierarchical classification.40.522005
COMPACT: a comparative package for clustering assessment71.002005
ProTeus: identifying signatures in protein termini.20.382005
Automatic detection of false annotations via binary property clustering.20.422005
A functional hierarchical organization of the protein sequence space.231.252004
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