You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Sep 9, 2022. It is now read-only.
Copy file name to clipboardExpand all lines: README.md
+49-50Lines changed: 49 additions & 50 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -1,6 +1,8 @@
1
1
microdemic
2
2
==========
3
3
4
+
5
+
4
6
[](http://www.repostatus.org/#wip)
@@ -95,24 +93,24 @@ res <- ma_calchist(query = "And(Composite(AA.AuN=='jaime teevan'),Y>2012)",
95
93
res$histograms$histogram
96
94
#> [[1]]
97
95
#> value logprob count
98
-
#> 1 2013 -17.05818
99
-
#> 2 2014 -17.287 13
100
-
#> 3 2016 -17.861 16
101
-
#> 4 2015 -17.924 13
102
-
#> 5 2017 -18.591 9
96
+
#> 1 2013 -17.06019
97
+
#> 2 2014 -17.273 13
98
+
#> 3 2016 -17.918 16
99
+
#> 4 2015 -17.998 13
100
+
#> 5 2017 -18.56211
103
101
#>
104
102
#> [[2]]
105
-
#> value logprob count
106
-
#> 1 computer science -16.46843
107
-
#> 2 world wide web -16.51733
108
-
#> 3 data mining -16.66828
109
-
#> 4 simulation -17.23220
110
-
#> 5 multimedia -17.30322
111
-
#> 6 crowdsourcing -17.404 16
112
-
#> 7 information retrieval -17.44311
113
-
#> 8 internet privacy -17.729 7
114
-
#> 9 search engine -17.9377
115
-
#> 10 machine learning -18.0146
103
+
#> value logprob count
104
+
#> 1 computer science -16.17256
105
+
#> 2 data mining -16.83325
106
+
#> 3 search engine -17.22013
107
+
#> 4 crowdsourcing -17.29919
108
+
#> 5 information retrieval -17.32614
109
+
#> 6 crowd -17.416 16
110
+
#> 7 human computer interaction -17.63918
111
+
#> 8 multimedia -17.78313
112
+
#> 9 world wide web -18.0705
113
+
#> 10 search analytics -18.0725
116
114
```
117
115
118
116
## Similarity
@@ -133,10 +131,11 @@ ma_similarity(s1, s2)
133
131
134
132
135
133
```r
136
-
ma_abstract(query="Ti='biology'...", count=3)
137
-
#> [1] "This review focuses on the mechanisms regulating the synthesis, secretion, biological actions, and therapeutic relevance of the incretin peptides glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1). The published literature was reviewed, with emphasis on recent advances in our understanding of the biology of GIP and GLP-1. GIP and GLP-1 are both secreted within minutes of nutrient ingestion and facilitate the rapid disposal of ingested nutrients. Both peptides share common actions on islet β-cells acting through structurally distinct yet related receptors. Incretin-receptor activation leads to glucose-dependent insulin secretion, induction of β-cell proliferation, and enhanced resistance to apoptosis. GIP also promotes energy storage via direct actions on adipose tissue, and enhances bone formation via stimulation of osteoblast proliferation and inhibition of apoptosis. In contrast, GLP-1 exerts glucoregulatory actions via slowing of gastric emptying and glucose-dependent inhibition of glucagon secretion. GLP-1 also promotes satiety and sustained GLP-1–receptor activation is associated with weight loss in both preclinical and clinical studies. The rapid degradation of both GIP and GLP-1 by the enzyme dipeptidyl peptidase-4 has led to the development of degradation-resistant GLP-1–receptor agonists and dipeptidyl peptidase-4 inhibitors for the treatment of type 2 diabetes. These agents decrease hemoglobin A1c (HbA1c) safely without weight gain in subjects with type 2 diabetes. GLP-1 and GIP integrate nutrient-derived signals to control food intake, energy absorption, and assimilation. Recently approved therapeutic agents based on potentiation of incretin action provide new physiologically based approaches for the treatment of type 2 diabetes."
138
-
#> [2] "Once a poorly defined pathologic oddity, in recent years, gastrointestinal stromal tumor (GIST) has emerged as a distinct oncogenetic entity that is now center stage in clinical trials of kinase-targeted therapies. This review charts the rapid progress that has established GIST as a model for understanding the role of oncogenic kinase mutations in human tumorigenesis. Approximately 80% to 85% of GISTs harbor activating mutations of the KIT tyrosine kinase. In a series of 322 GISTs (including 140 previously published cases) studied by the authors in detail, mutations in the KIT gene occurred with decreasing frequency in exons 11 (66.1%), 9 (13%), 13 (1.2%), and 17 (0.6%). In the same series, a subset of tumors had mutations in the KIT-related kinase gene PDGF receptor alpha (PDGFRA), which occurred in either exon 18 (5.6%) or 12 (1.5%). The remainder of GISTs (12%) were wild type for both KIT and PDGFRA. Comparative studies of KIT-mutant, PDGFRA-mutant, and wild-type GISTs indicate that there are many simi..."
139
-
#> [3] "As they grapple with increasingly large data sets, biologists and computer scientists uncork new bottlenecks."
134
+
res<- ma_abstract(query="Y='19'...", count=5)
135
+
Filter(nzchar, res)
136
+
#> [1] "Molecular Cloning has served as the foundation of technical expertise in labs worldwide for 30 years. No other manual has been so popular, or so influential. Molecular Cloning, Fourth Edition, by the celebrated founding author Joe Sambrook and new co-author, the distinguished HHMI investigator Michael Green, preserves the highly praised detail and clarity of previous editions and includes specific chapters and protocols commissioned for the book from expert practitioners at Yale, U Mass, Rockefeller University, Texas Tech, Cold Spring Harbor Laboratory, Washington University, and other leading institutions. The theoretical and historical underpinnings of techniques are prominent features of the presentation throughout, information that does much to help trouble-shoot experimental problems. For the fourth edition of this classic work, the content has been entirely recast to include nucleic-acid based methods selected as the most widely used and valuable in molecular and cellular biology laboratories. Core chapters from the third edition have been revised to feature current strategies and approaches to the preparation and cloning of nucleic acids, gene transfer, and expression analysis. They are augmented by 12 new chapters which show how DNA, RNA, and proteins should be prepared, evaluated, and manipulated, and how data generation and analysis can be handled. The new content includes methods for studying interactions between cellular components, such as microarrays, next-generation sequencing technologies, RNA interference, and epigenetic analysis using DNA methylation techniques and chromatin immunoprecipitation. To make sense of the wealth of data produced by these techniques, a bioinformatics chapter describes the use of analytical tools for comparing sequences of genes and proteins and identifying common expression patterns among sets of genes. Building on thirty years of trust, reliability, and authority, the fourth edition of Mol"
137
+
#> [2] "Setting of the learning problem consistency of learning processes bounds on the rate of convergence of learning processes controlling the generalization ability of learning processes constructing learning algorithms what is important in learning theory?."
138
+
#> [3] "The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSIBLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily."
0 commit comments