Serafim Batzoglou
Molecular Biology · 2000–2019
A researcher in the Science corpus: 23 papers; trusts 45 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 465 citations into it; #651 of 17,773 by trust here, #94 by citations
- Genetics — 189 citations into it
- Plant Science — 74 citations into it
- Computational Biology & Bioinformatics — 46 citations into it
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Biophysics — 7 citations into it; #499 of 1,196 by trust here, #668 by citations
Whom Serafim Batzoglou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert C. Edgar
- Terence P. Speed
- Cédric Notredame
- Anders Krogh
- Kazutaka Katoh
- Michael I. Jordan
- Christopher J. Lee
- Burkhard Rost
- Geoffrey E. Hinton
- David C. Jones
Who trusts Serafim Batzoglou overall
- Jeremy D. Buhler
- Jimin Pei
- Elena Rivas
- Bruce G. Marcot
- Aaron E. Darling
- Kazutaka Katoh
- Mark J. P. Chaisson
- Chuong B. Do
- Manolis Kellis
- Ian Korf
Papers from Serafim Batzoglou's perspective
Ordered by how strongly the researchers Serafim Batzoglou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Learning Multiple Layers of Features from Tiny Images
- Identity Mappings in Deep Residual Networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Initial sequencing and analysis of the human genome (2001) — 24,262 citations
- Distribution and intensity of constraint in mammalian genomic sequence. (2005) — 1,400 citations
- ProbCons: Probabilistic consistency-based multiple sequence alignment. (2005) — 1,197 citations
- ARACHNE: a whole-genome shotgun assembler. (2002) — 690 citations
- Architecture of the human regulatory network derived from ENCODE data (2012) — 1,495 citations
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (2007) — 5,374 citations
- Genome sequence of the Brown Norway rat yields insights into mammalian evolution (2004) — 2,140 citations
- CONTRAfold: RNA secondary structure prediction without physics-based models (2006) — 612 citations
- The ENCODE (ENCyclopedia Of DNA Elements) Project (2004) — 2,411 citations
- Human and mouse gene structure: comparative analysis and application to exon prediction (2000) — 427 citations
- Genome-Wide Analysis of Transcription Factor Binding Sites Based on ChIP-Seq Data (2008) — 762 citations
- Multiple sequence alignment. (2006) — 399 citations
- Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning (2016) — 650 citations
- Predicting Splicing from Primary Sequence with Deep Learning. (2019) — 2,423 citations
- ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia (2012) — 1,852 citations
- Sequencing of Aspergillus nidulans and comparative analysis with A. fumigatus and A. oryzae (2005) — 1,367 citations
- Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++ (2010) — 1,712 citations
- A User's Guide to the Encyclopedia of DNA Elements (ENCODE) (2011) — 1,042 citations
- What is the expectation maximization algorithm? (2008) — 383 citations
- Genomic Hallmarks and Structural Variation in Metastatic Prostate Cancer. (2018) — 653 citations