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Your search keyword '"Linial M"' showing total 45 results

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45 results on '"Linial M"'

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1. PWAS Hub: exploring gene-based associations of complex diseases with sex dependency.

2. Discovering predisposing genes for hereditary breast cancer using deep learning.

3. Detecting anomalous proteins using deep representations.

4. ProteinBERT: a universal deep-learning model of protein sequence and function.

5. Evolutionary and functional lessons from human-specific amino acid substitution matrices.

6. BIRD: identifying cell doublets via biallelic expression from single cells.

7. Quantifying gene selection in cancer through protein functional alteration bias.

8. Small RNA sequences derived from pre-microRNAs in the supraspliceosome.

9. Enhancing identification of cancer types via lowly-expressed microRNAs.

10. ProFET: Feature engineering captures high-level protein functions.

11. Message from the ISCB: ISCB Ebola award for important future research on the computational biology of Ebola virus.

12. Entropy-driven partitioning of the hierarchical protein space.

14. NeuroPID: a classifier of neuropeptide precursors.

15. NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes.

16. Paving the future: finding suitable ISMB venues.

17. Toward a combinatorial nature of microRNA regulation in human cells.

18. Susceptibility of the human pathways graphs to fragmentation by small sets of microRNAs.

19. ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.

20. Generative probabilistic models for protein-protein interaction networks--the biclique perspective.

21. ARISTO: ontological classification of small molecules by electron ionization-mass spectrometry.

22. Recovering key biological constituents through sparse representation of gene expression.

23. SPRINT: side-chain prediction inference toolbox for multistate protein design.

24. Exposing the co-adaptive potential of protein-protein interfaces through computational sequence design.

25. A predictor for toxin-like proteins exposes cell modulator candidates within viral genomes.

26. MiRror: a combinatorial analysis web tool for ensembles of microRNAs and their targets.

27. PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations.

28. ClanTox: a classifier of short animal toxins.

29. Connect the dots: exposing hidden protein family connections from the entire sequence tree.

30. Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.

31. Unsupervised feature selection under perturbations: meeting the challenges of biological data.

32. EVEREST: a collection of evolutionary conserved protein domains.

33. Novel unsupervised feature filtering of biological data.

34. ProTeus: identifying signatures in protein termini.

35. ProTarget: automatic prediction of protein structure novelty.

36. Families of membranous proteins can be characterized by the amino acid composition of their transmembrane domains.

37. Predicting fold novelty based on ProtoNet hierarchical classification.

38. ProtoNet 4.0: a hierarchical classification of one million protein sequences.

39. PANDORA: keyword-based analysis of protein sets by integration of annotation sources.

40. PROCEED: A proteomic method for analysing plasma membrane proteins in living mammalian cells.

41. ProtoNet: hierarchical classification of the protein space.

42. Selecting targets for structural determination by navigating in a graph of protein families.

43. The metric space of proteins-comparative study of clustering algorithms.

44. ProtoMap: automatic classification of protein sequences and hierarchy of protein families.

45. Bent DNA structures associated with several origins of replication are recognized by a unique enzyme from trypanosomatids.

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