Mahmoud Ghandi

Molecular Biology · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mahmoud Ghandi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Vladimir Naumovich Vapni
  2. Aaron Arvey
  3. Phaedra Agius
  4. Bernhard E. Boser
  5. William Stafford Noble
  6. Christina S. Leslie
  7. Sören Sonnenburg
  8. Timothy L. Bailey
  9. Philip Machanick
  10. Yong Zhang

Who trusts Mahmoud Ghandi overall

  1. Manu N. Setty
  2. Avanti Shrikumar
  3. Daniel Veltri
  4. Jack Lanchantin
  5. Xu Min
  6. Bin Liu
  7. Christina S. Leslie
  8. David R. Kelley
  9. Eva Prakash
  10. Uday Kamath

Papers from Mahmoud Ghandi's perspective

Ordered by how strongly the researchers Mahmoud Ghandi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities (Nature Biotechnology)
  2. The Nature of Statistical Learning Theory
  3. A training algorithm for optimal margin classifiers
  4. ChIP-seq accurately predicts tissue-specific activity of enhancers (Nature)
  5. Mismatch string kernels for discriminative protein classification
  6. JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update (Nucleic Acids Res.)
  7. High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions
  8. The Spectrum Kernel: A String Kernel for SVM Protein Classification
  9. Quantifying similarity between motifs (Genome Biology)
  10. Regularization Paths for Generalized Linear Models via Coordinate Descent

Their papers